From ab3f69e64416b8610edb7bf616d8c4c593c8c90f Mon Sep 17 00:00:00 2001 From: Scott Chamberlain Date: Thu, 21 May 2015 13:50:26 -0700 Subject: [PATCH] updated readme without erddap, removed erddap vignettes, #95 --- README.Rmd | 67 +---- README.md | 462 +++++++----------------------- inst/img/unnamed-chunk-14-1.png | Bin 50421 -> 50978 bytes inst/img/unnamed-chunk-17-1.png | Bin 110817 -> 117252 bytes inst/vign/erddap_vignette.Rmd | 148 ---------- inst/vign/erddap_vignette.md | 478 -------------------------------- vignettes/erddap_vignette.Rmd | 478 -------------------------------- 7 files changed, 95 insertions(+), 1538 deletions(-) delete mode 100644 inst/vign/erddap_vignette.Rmd delete mode 100644 inst/vign/erddap_vignette.md delete mode 100644 vignettes/erddap_vignette.Rmd diff --git a/README.Rmd b/README.Rmd index 0e4474e7..13435dc6 100644 --- a/README.Rmd +++ b/README.Rmd @@ -41,7 +41,6 @@ Then `rnoaa` with the buoy functions should install and load correctly. See [thi There is a tutorial on the [rOpenSci website](http://ropensci.org/tutorials/rnoaa_tutorial.html), and there are many tutorials in the package itself, available in your R session, or [on CRAN](http://cran.r-project.org/web/packages/rnoaa/index.html). The tutorials: * NOAA Buoy vignette -* NOAA ERDDAP vignette * NOAA National Climatic Data Center (NCDC) vignette (examples) * NOAA NCDC attributes vignette * NOAA NCDC workflow vignette @@ -62,8 +61,7 @@ The majority of functions in this package work with NOAA NCDC data. * [Sea ice data](ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/shapefiles) * [NOAA buoy data](http://www.ndbc.noaa.gov/) * [ERDDAP data](http://upwell.pfeg.noaa.gov/erddap/index.html) - * griddap - gridded data - * tabledap - tablular data + * Now in package [rerddap](https://github.com/ropensci/rerddap) * Tornadoes! Data from the [NOAA Storm Prediction Center](http://www.spc.noaa.gov/gis/svrgis/) * HOMR - Historical Observing Metadata Repository - from [NOAA NCDC](http://www.ncdc.noaa.gov/homr/api) * Storm data - from the [International Best Track Archive for Climate Stewardship (IBTrACS)](http://www.ncdc.noaa.gov/ibtracs/index.php?name=wmo-data) @@ -237,69 +235,6 @@ Get storm data for the year 2010 storm_data(year=2010) ``` -## ERDDAP data - -ERDDAP is a server built on top of OPenDAP, which serves some NOAA data. You can get gridded data ([griddap](http://upwell.pfeg.noaa.gov/erddap/griddap/documentation.html)), which lets you query from gridded datasets, or table data ([tabledap](http://upwell.pfeg.noaa.gov/erddap/tabledap/documentation.html)) which lets you query from tabular datasets. In terms of how we interface with them, there are similarties, but some differences too. We try to make a similar interface to both data types in `rnoaa`. - -First, you likely want to search for data, specify either `griddadp` or `tabledap` - -```{r erddap_search_table} -erddap_search(query='size', which = "table") -``` - -```{r erddap_search_grid} -erddap_search(query='size', which = "grid") -``` - -Then you can get information on a single dataset - -```{r erddap_info} -erddap_info('whoi_7dd7_db97_4bbe') -``` - -__griddap data__ - -```{r griddap_info} -(out <- erddap_info('noaa_esrl_027d_0fb5_5d38')) -``` - -```{r griddap_data} -(res <- erddap_grid(out, - time = c('2012-01-01','2012-06-12'), - latitude = c(21, 18), - longitude = c(-80, -75) -)) -``` - -__tabledap data__ - -```{r tabledap_info} -(out <- erddap_info('erdCalCOFIfshsiz')) -``` - -```{r tabledap_data, eval=FALSE} -erddap_table(out, fields=c('longitude','latitude','fish_size','itis_tsn'), - 'time>=2001-07-07','time<=2001-07-10') -#> erdCalCOFIfshsiz -#> Path: [~/.rnoaa/erddap/erdCalCOFIfshsiz.csv] -#> Last updated: [2014-12-19 09:14:01] -#> File size: [0.02 mb] -#> Dimensions: [558 X 4] -#> -#> longitude latitude fish_size itis_tsn -#> 2 -118.26 33.255 22.9 623745 -#> 3 -118.26 33.255 22.9 623745 -#> 4 -118.10667 32.738335 31.5 623625 -#> 5 -118.10667 32.738335 48.3 623625 -#> 6 -118.10667 32.738335 15.5 162221 -#> 7 -118.10667 32.738335 16.3 162221 -#> 8 -118.10667 32.738335 17.8 162221 -#> 9 -118.10667 32.738335 18.2 162221 -#> 10 -118.10667 32.738335 19.2 162221 -#> 11 -118.10667 32.738335 20.0 162221 -#> .. ... ... ... ... -``` - ## Meta * Please [report any issues or bugs](https://github.com/ropensci/rnoaa/issues). diff --git a/README.md b/README.md index 1ab80194..202199d7 100644 --- a/README.md +++ b/README.md @@ -31,7 +31,6 @@ Then `rnoaa` with the buoy functions should install and load correctly. See [thi There is a tutorial on the [rOpenSci website](http://ropensci.org/tutorials/rnoaa_tutorial.html), and there are many tutorials in the package itself, available in your R session, or [on CRAN](http://cran.r-project.org/web/packages/rnoaa/index.html). The tutorials: * NOAA Buoy vignette -* NOAA ERDDAP vignette * NOAA National Climatic Data Center (NCDC) vignette (examples) * NOAA NCDC attributes vignette * NOAA NCDC workflow vignette @@ -52,8 +51,7 @@ The majority of functions in this package work with NOAA NCDC data. * [Sea ice data](ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/shapefiles) * [NOAA buoy data](http://www.ndbc.noaa.gov/) * [ERDDAP data](http://upwell.pfeg.noaa.gov/erddap/index.html) - * griddap - gridded data - * tabledap - tablular data + * Now in package [rerddap](https://github.com/ropensci/rerddap) * Tornadoes! Data from the [NOAA Storm Prediction Center](http://www.spc.noaa.gov/gis/svrgis/) * HOMR - Historical Observing Metadata Repository - from [NOAA NCDC](http://www.ncdc.noaa.gov/homr/api) * Storm data - from the [International Best Track Archive for Climate Stewardship (IBTrACS)](http://www.ncdc.noaa.gov/ibtracs/index.php?name=wmo-data) @@ -87,7 +85,7 @@ You'll need an API key to use the NOAA NCDC functions (those starting with `ncdc Once you obtain a key, there are two ways to use it. -a) Pass it inline with each function call (somewhat cumbersome) +a) Pass it inline with each function call (somewhat cumbersome) ```r @@ -172,31 +170,31 @@ ncdc_locs(locationcategoryid='CITY', sortfield='name', sortorder='desc') #> #> $data #> id name datacoverage mindate maxdate -#> 1 CITY:NL000012 Zwolle, NL 1.0000 1892-08-01 2015-01-31 -#> 2 CITY:SZ000007 Zurich, SZ 1.0000 1901-01-01 2015-02-27 +#> 1 CITY:NL000012 Zwolle, NL 1.0000 1892-08-01 2015-04-30 +#> 2 CITY:SZ000007 Zurich, SZ 1.0000 1901-01-01 2015-05-18 #> 3 CITY:NG000004 Zinder, NG 0.8678 1906-01-01 1980-12-31 -#> 4 CITY:UP000025 Zhytomyra, UP 0.9730 1938-01-01 2015-02-27 -#> 5 CITY:KZ000017 Zhezkazgan, KZ 0.9290 1948-03-01 2015-02-27 -#> 6 CITY:CH000045 Zhengzhou, CH 1.0000 1951-01-01 2015-02-27 +#> 4 CITY:UP000025 Zhytomyra, UP 0.9731 1938-01-01 2015-05-18 +#> 5 CITY:KZ000017 Zhezkazgan, KZ 0.9293 1948-03-01 2015-05-18 +#> 6 CITY:CH000045 Zhengzhou, CH 1.0000 1951-01-01 2015-05-18 #> 7 CITY:SP000021 Zaragoza, SP 1.0000 1941-01-01 2014-12-22 #> 8 CITY:UP000024 Zaporiyhzhya, UP 0.9739 1936-01-01 2009-06-16 -#> 9 CITY:US390029 Zanesville, OH US 1.0000 1893-01-01 2015-02-28 -#> 10 CITY:LE000004 Zahle, LE 0.7811 1912-01-01 1971-12-31 +#> 9 CITY:US390029 Zanesville, OH US 1.0000 1893-01-01 2015-05-18 +#> 10 CITY:LE000004 Zahle, LE 0.7966 1912-01-01 1971-12-31 #> 11 CITY:IR000019 Zahedan, IR 0.9930 1951-01-01 2010-05-19 #> 12 CITY:HR000002 Zagreb, HR 1.0000 1860-12-01 2013-12-31 -#> 13 CITY:RS000081 Yuzhno-Sakhalinsk, RS 1.0000 1947-01-01 2015-02-27 -#> 14 CITY:US040015 Yuma, AZ US 1.0000 1893-01-01 2015-02-28 -#> 15 CITY:US060048 Yucca Valley, CA US 1.0000 1942-02-01 2015-02-28 -#> 16 CITY:US060047 Yuba City, CA US 1.0000 1893-01-01 2015-02-28 -#> 17 CITY:US390028 Youngstown, OH US 1.0000 1893-01-01 2015-03-01 -#> 18 CITY:US420024 York, PA US 1.0000 1941-01-01 2015-02-28 -#> 19 CITY:US360031 Yonkers, NY US 1.0000 1876-01-01 2015-03-01 -#> 20 CITY:JA000017 Yokohama, JA 1.0000 1949-01-01 2015-02-27 -#> 21 CITY:CH000044 Yinchuan, CH 1.0000 1951-01-01 2015-02-27 -#> 22 CITY:AM000001 Yerevan, AM 0.9751 1885-06-01 2015-02-27 -#> 23 CITY:US280020 Yazoo City, MS US 1.0000 1948-01-01 2015-02-28 +#> 13 CITY:RS000081 Yuzhno-Sakhalinsk, RS 1.0000 1947-01-01 2015-05-18 +#> 14 CITY:US040015 Yuma, AZ US 1.0000 1893-01-01 2015-05-18 +#> 15 CITY:US060048 Yucca Valley, CA US 1.0000 1942-02-01 2015-05-19 +#> 16 CITY:US060047 Yuba City, CA US 1.0000 1893-01-01 2015-05-19 +#> 17 CITY:US390028 Youngstown, OH US 1.0000 1893-01-01 2015-05-19 +#> 18 CITY:US420024 York, PA US 1.0000 1941-01-01 2015-05-19 +#> 19 CITY:US360031 Yonkers, NY US 1.0000 1876-01-01 2015-05-19 +#> 20 CITY:JA000017 Yokohama, JA 1.0000 1949-01-01 2015-05-18 +#> 21 CITY:CH000044 Yinchuan, CH 1.0000 1951-01-01 2015-05-18 +#> 22 CITY:AM000001 Yerevan, AM 0.9751 1885-06-01 2015-05-18 +#> 23 CITY:US280020 Yazoo City, MS US 1.0000 1948-01-01 2015-05-19 #> 24 CITY:RS000080 Yaroslavl, RS 0.9850 1959-07-01 1987-05-20 -#> 25 CITY:US460009 Yankton, SD US 1.0000 1932-01-01 2015-03-01 +#> 25 CITY:US460009 Yankton, SD US 1.0000 1932-01-01 2015-05-19 #> #> attr(,"class") #> [1] "ncdc_locs" @@ -214,7 +212,7 @@ ncdc_stations(datasetid='GHCND', locationid='FIPS:12017', stationid='GHCND:USC00 #> id elevation name elevationUnit #> 1 GHCND:USC00084289 12.2 INVERNESS 3 SE, FL US METERS #> datacoverage longitude mindate latitude maxdate -#> 1 1 -82.3126 1899-02-01 28.8029 2015-02-28 +#> 1 1 -82.3126 1899-02-01 28.8029 2015-05-19 #> #> attr(,"class") #> [1] "ncdc_stations" @@ -282,30 +280,18 @@ ncdc_datasets() #> #> #> $data -#> uid id name datacoverage -#> 1 gov.noaa.ncdc:C00040 ANNUAL Annual Summaries 1.00 -#> 2 gov.noaa.ncdc:C00861 GHCND Daily Summaries 1.00 -#> 3 gov.noaa.ncdc:C00841 GHCNDMS Monthly Summaries 1.00 -#> 4 gov.noaa.ncdc:C00345 NEXRAD2 Weather Radar (Level II) 0.95 -#> 5 gov.noaa.ncdc:C00708 NEXRAD3 Weather Radar (Level III) 0.95 -#> 6 gov.noaa.ncdc:C00821 NORMAL_ANN Normals Annual/Seasonal 1.00 -#> 7 gov.noaa.ncdc:C00823 NORMAL_DLY Normals Daily 1.00 -#> 8 gov.noaa.ncdc:C00824 NORMAL_HLY Normals Hourly 1.00 -#> 9 gov.noaa.ncdc:C00822 NORMAL_MLY Normals Monthly 1.00 -#> 10 gov.noaa.ncdc:C00505 PRECIP_15 Precipitation 15 Minute 0.25 -#> 11 gov.noaa.ncdc:C00313 PRECIP_HLY Precipitation Hourly 1.00 -#> mindate maxdate -#> 1 1831-02-01 2014-07-01 -#> 2 1763-01-01 2015-03-01 -#> 3 1763-01-01 2015-01-01 -#> 4 1991-06-05 2015-02-27 -#> 5 1994-05-20 2015-02-25 -#> 6 2010-01-01 2010-01-01 -#> 7 2010-01-01 2010-12-31 -#> 8 2010-01-01 2010-12-31 -#> 9 2010-01-01 2010-12-01 -#> 10 1970-05-12 2013-12-01 -#> 11 1900-01-01 2013-12-01 +#> uid id name datacoverage mindate maxdate +#> 1 gov.noaa.ncdc:C00040 ANNUAL Annual Summaries 1.00 1831-02-01 2014-11-01 +#> 2 gov.noaa.ncdc:C00861 GHCND Daily Summaries 1.00 1763-01-01 2015-05-20 +#> 3 gov.noaa.ncdc:C00841 GHCNDMS Monthly Summaries 1.00 1763-01-01 2015-04-01 +#> 4 gov.noaa.ncdc:C00345 NEXRAD2 Weather Radar (Level II) 0.95 1991-06-05 2015-05-18 +#> 5 gov.noaa.ncdc:C00708 NEXRAD3 Weather Radar (Level III) 0.95 1994-05-20 2015-05-15 +#> 6 gov.noaa.ncdc:C00821 NORMAL_ANN Normals Annual/Seasonal 1.00 2010-01-01 2010-01-01 +#> 7 gov.noaa.ncdc:C00823 NORMAL_DLY Normals Daily 1.00 2010-01-01 2010-12-31 +#> 8 gov.noaa.ncdc:C00824 NORMAL_HLY Normals Hourly 1.00 2010-01-01 2010-12-31 +#> 9 gov.noaa.ncdc:C00822 NORMAL_MLY Normals Monthly 1.00 2010-01-01 2010-12-01 +#> 10 gov.noaa.ncdc:C00505 PRECIP_15 Precipitation 15 Minute 0.25 1970-05-12 2014-01-01 +#> 11 gov.noaa.ncdc:C00313 PRECIP_HLY Precipitation Hourly 1.00 1900-01-01 2014-01-01 #> #> attr(,"class") #> [1] "ncdc_datasets" @@ -368,8 +354,8 @@ The function `tornadoes()` simply gets __all the data__. So the call takes a whi shp <- tornadoes() #> OGR data source with driver: ESRI Shapefile #> Source: "/Users/sacmac/.rnoaa/tornadoes/tornadoes", layer: "tornado" -#> with 57988 features and 21 fields -#> Feature type: wkbLineString with 2 dimensions +#> with 57988 features +#> It has 21 fields library('sp') plot(shp) ``` @@ -388,10 +374,8 @@ homr(qid = 'COOP:046742') #> [1] "20002078" #> #> $`20002078`$head -#> preferredName latitude_dec longitude_dec precision -#> 1 PASO ROBLES MUNICIPAL AP, CA 35.6697 -120.6283 DDMMSS -#> por.beginDate por.endDate -#> 1 1949-10-05T00:00:00.000 Present +#> preferredName latitude_dec longitude_dec precision por.beginDate por.endDate +#> 1 PASO ROBLES MUNICIPAL AP, CA 35.6697 -120.6283 DDMMSS 1949-10-05T00:00:00.000 Present #> #> $`20002078`$namez #> name nameType @@ -433,37 +417,22 @@ homr(qid = 'COOP:046742') #> $`20002078`$updates #> effectiveDate providedBy updateSource version #> 1 2014-08-14T00:00:00.000 NCDC\\KTHOMAS AD HOC NONE -#> description -#> 1 ADDING ANEMOMETER HEIGHTS FROM NWS SURFACE OBSERVATIONS PROGRAM LISTING DATED FEBRUARY 11, 2009 -#> enteredBy enteredDate modifiedBy modifiedDate -#> 1 KTHOMAS 2014-08-14T10:07:52-04:00 SMCNEILL 2014-09-24T14:56:23-04:00 +#> description enteredBy enteredDate modifiedBy +#> 1 ADDING ANEMOMETER HEIGHTS FROM NWS SURFACE OBSERVATIONS PROGRAM LISTING DATED FEBRUARY 11, 2009 KTHOMAS 2014-08-14T10:07:52-04:00 SMCNEILL +#> modifiedDate +#> 1 2014-09-24T14:56:23-04:00 #> #> $`20002078`$elements -#> dataProgram element frequency observationTime publishedFlag receiver -#> 1 COOP HPD PRECIP HOURLY 2400 HPD NCDC -#> 2 COOP SOD PRECIP DAILY 2400 CD NCDC -#> 3 COOP SOD TEMP DAILY 2400 CD NCDC -#> 4 COOP SOD WIND HOURLY UNKN -#> reportingMethod equipment.equipment equipment.equipmentMods -#> 1 ADP AHTB RCRD;HTD -#> 2 ADP PCPNX -#> 3 ADP TEMPX -#> 4 -#> equipment.equipmentAzimuth equipment.equipmentDistance -#> 1 000 0 -#> 2 000 0 -#> 3 090 4 -#> 4 -#> equipment.equipmentDistanceUnits date.beginDate date.endDate -#> 1 ft 2010-02-11T00:00:00.000 Present -#> 2 ft 2010-02-11T00:00:00.000 Present -#> 3 ft 2010-02-11T00:00:00.000 Present -#> 4 2010-02-11T00:00:00.000 Present -#> equipment -#> 1 -#> 2 -#> 3 -#> 4 ANEMSONIC +#> dataProgram element frequency observationTime publishedFlag receiver reportingMethod equipment.equipment equipment.equipmentMods +#> 1 COOP HPD PRECIP HOURLY 2400 HPD NCDC ADP AHTB RCRD;HTD +#> 2 COOP SOD PRECIP DAILY 2400 CD NCDC ADP PCPNX +#> 3 COOP SOD TEMP DAILY 2400 CD NCDC ADP TEMPX +#> 4 COOP SOD WIND HOURLY UNKN +#> equipment.equipmentAzimuth equipment.equipmentDistance equipment.equipmentDistanceUnits date.beginDate date.endDate equipment +#> 1 000 0 ft 2010-02-11T00:00:00.000 Present +#> 2 000 0 ft 2010-02-11T00:00:00.000 Present +#> 3 090 4 ft 2010-02-11T00:00:00.000 Present +#> 4 2010-02-11T00:00:00.000 Present ANEMSONIC #> #> $`20002078`$location #> $`20002078`$location$id @@ -474,10 +443,8 @@ homr(qid = 'COOP:046742') #> 1 PASO ROBLES MUNICIPAL AIRPORT OUTSIDE AND 5 MILES NE OF PO AT PASO ROBLES CA #> #> $`20002078`$location$latlon -#> latitude_dec longitude_dec latitude_dms longitude_dms precision -#> 1 35.6697 -120.6283 35,40,11,N 120,37,42,W DDMMSS -#> datum_horiz source -#> 1 NAD83 ASOS SITE SURVEY +#> latitude_dec longitude_dec latitude_dms longitude_dms precision datum_horiz source +#> 1 35.6697 -120.6283 35,40,11,N 120,37,42,W DDMMSS NAD83 ASOS SITE SURVEY #> #> $`20002078`$location$elevation #> elevationType elevationFeet elevationMeters groundElevDatum @@ -496,12 +463,8 @@ homr(qid = 'COOP:046742') #> 1 20002078 UNITED STATES CA SAN LUIS OBISPO -8 #> #> $`20002078`$location$nwsinfo -#> ncdstnId climateDivisions.stateProvince climateDivisions.climateDivision -#> 1 20002078 CA 04 -#> climateDivisions.displayName nwsRegion nwsWfos.nwsWfo -#> 1 Central Coast Drainage WESTERN LOX -#> nwsWfos.displayName -#> 1 LOS ANGELES, CA +#> ncdstnId climateDivisions.stateProvince climateDivisions.climateDivision climateDivisions.displayName nwsRegion nwsWfos.nwsWfo nwsWfos.displayName +#> 1 20002078 CA 04 Central Coast Drainage WESTERN LOX LOS ANGELES, CA #> #> #> @@ -521,284 +484,47 @@ storm_data(year=2010) #> #> Size: 2855 X 195 #> -#> serial_num season num basin sub_basin name iso_time -#> 1 2009317S10073 2010 1 SI MM ANJA 2009-11-13 06:00:00 -#> 2 2009317S10073 2010 1 SI MM ANJA 2009-11-13 12:00:00 -#> 3 2009317S10073 2010 1 SI MM ANJA 2009-11-13 18:00:00 -#> 4 2009317S10073 2010 1 SI MM ANJA 2009-11-14 00:00:00 -#> 5 2009317S10073 2010 1 SI MM ANJA 2009-11-14 06:00:00 -#> 6 2009317S10073 2010 1 SI MM ANJA 2009-11-14 12:00:00 -#> 7 2009317S10073 2010 1 SI MM ANJA 2009-11-14 18:00:00 -#> 8 2009317S10073 2010 1 SI MM ANJA 2009-11-15 00:00:00 -#> 9 2009317S10073 2010 1 SI MM ANJA 2009-11-15 06:00:00 -#> 10 2009317S10073 2010 1 SI MM ANJA 2009-11-15 12:00:00 -#> .. ... ... ... ... ... ... ... -#> Variables not shown: nature (chr), latitude (dbl), longitude (dbl), -#> wind.wmo. (dbl), pres.wmo. (dbl), center (chr), wind.wmo..percentile -#> (dbl), pres.wmo..percentile (dbl), track_type (chr), -#> latitude_for_mapping (dbl), longitude_for_mapping (dbl), -#> current.basin (chr), hurdat_atl_lat (dbl), hurdat_atl_lon (dbl), -#> hurdat_atl_grade (dbl), hurdat_atl_wind (dbl), hurdat_atl_pres (dbl), -#> td9636_lat (dbl), td9636_lon (dbl), td9636_grade (dbl), td9636_wind -#> (dbl), td9636_pres (dbl), reunion_lat (dbl), reunion_lon (dbl), -#> reunion_grade (dbl), reunion_wind (dbl), reunion_pres (dbl), atcf_lat -#> (dbl), atcf_lon (dbl), atcf_grade (dbl), atcf_wind (dbl), atcf_pres -#> (dbl), ds824_sh_lat (dbl), ds824_sh_lon (dbl), ds824_sh_grade (dbl), -#> ds824_sh_wind (dbl), ds824_sh_pres (dbl), ds824_ni_lat (dbl), -#> ds824_ni_lon (dbl), ds824_ni_grade (dbl), ds824_ni_wind (dbl), -#> ds824_ni_pres (dbl), bom_lat (dbl), bom_lon (dbl), bom_grade (dbl), -#> bom_wind (dbl), bom_pres (dbl), ds824_au_lat (dbl), ds824_au_lon -#> (dbl), ds824_au_grade (dbl), ds824_au_wind (dbl), ds824_au_pres -#> (dbl), jtwc_sh_lat (dbl), jtwc_sh_lon (dbl), jtwc_sh_grade (dbl), -#> jtwc_sh_wind (dbl), jtwc_sh_pres (dbl), jtwc_wp_lat (dbl), -#> jtwc_wp_lon (dbl), jtwc_wp_grade (dbl), jtwc_wp_wind (dbl), -#> jtwc_wp_pres (dbl), td9635_lat (dbl), td9635_lon (dbl), td9635_grade -#> (dbl), td9635_wind (dbl), td9635_pres (dbl), ds824_wp_lat (dbl), -#> ds824_wp_lon (dbl), ds824_wp_grade (dbl), ds824_wp_wind (dbl), -#> ds824_wp_pres (dbl), jtwc_io_lat (dbl), jtwc_io_lon (dbl), -#> jtwc_io_grade (dbl), jtwc_io_wind (dbl), jtwc_io_pres (dbl), cma_lat -#> (dbl), cma_lon (dbl), cma_grade (dbl), cma_wind (dbl), cma_pres -#> (dbl), hurdat_epa_lat (dbl), hurdat_epa_lon (dbl), hurdat_epa_grade -#> (dbl), hurdat_epa_wind (dbl), hurdat_epa_pres (dbl), jtwc_ep_lat -#> (dbl), jtwc_ep_lon (dbl), jtwc_ep_grade (dbl), jtwc_ep_wind (dbl), -#> jtwc_ep_pres (dbl), ds824_ep_lat (dbl), ds824_ep_lon (dbl), -#> ds824_ep_grade (dbl), ds824_ep_wind (dbl), ds824_ep_pres (dbl), -#> jtwc_cp_lat (dbl), jtwc_cp_lon (dbl), jtwc_cp_grade (dbl), -#> jtwc_cp_wind (dbl), jtwc_cp_pres (dbl), tokyo_lat (dbl), tokyo_lon -#> (dbl), tokyo_grade (dbl), tokyo_wind (dbl), tokyo_pres (dbl), -#> neumann_lat (dbl), neumann_lon (dbl), neumann_grade (dbl), -#> neumann_wind (dbl), neumann_pres (dbl), hko_lat (dbl), hko_lon (dbl), -#> hko_grade (dbl), hko_wind (dbl), hko_pres (dbl), cphc_lat (dbl), -#> cphc_lon (dbl), cphc_grade (dbl), cphc_wind (dbl), cphc_pres (dbl), -#> wellington_lat (dbl), wellington_lon (dbl), wellington_grade (dbl), -#> wellington_wind (dbl), wellington_pres (dbl), newdelhi_lat (dbl), -#> newdelhi_lon (dbl), newdelhi_grade (dbl), newdelhi_wind (dbl), -#> newdelhi_pres (dbl), nadi_lat (dbl), nadi_lon (dbl), nadi_grade -#> (dbl), nadi_wind (dbl), nadi_pres (dbl), reunion_rmw (dbl), -#> reunion_wind_radii_1_ne (dbl), reunion_wind_radii_1_se (dbl), -#> reunion_wind_radii_1_sw (dbl), reunion_wind_radii_1_nw (dbl), -#> reunion_wind_radii_2_ne (dbl), reunion_wind_radii_2_se (dbl), -#> reunion_wind_radii_2_sw (dbl), reunion_wind_radii_2_nw (dbl), -#> bom_mn_hurr_xtnt (dbl), bom_mn_gale_xtnt (dbl), bom_mn_eye_diam -#> (dbl), bom_roci (dbl), atcf_rmw (dbl), atcf_poci (dbl), atcf_roci -#> (dbl), atcf_eye (dbl), atcf_wrad34_rad1 (dbl), atcf_wrad34_rad2 -#> (dbl), atcf_wrad34_rad3 (dbl), atcf_wrad34_rad4 (dbl), -#> atcf_wrad50_rad1 (dbl), atcf_wrad50_rad2 (dbl), atcf_wrad50_rad3 -#> (dbl), atcf_wrad50_rad4 (dbl), atcf_wrad64_rad1 (dbl), -#> atcf_wrad64_rad2 (dbl), atcf_wrad64_rad3 (dbl), atcf_wrad64_rad4 -#> (dbl), tokyo_dir50 (dbl), tokyo_long50 (dbl), tokyo_short50 (dbl), -#> tokyo_dir30 (dbl), tokyo_long30 (dbl), tokyo_short30 (dbl), -#> jtwc_.._rmw (dbl), jtwc_.._poci (dbl), jtwc_.._roci (dbl), -#> jtwc_.._eye (dbl), jtwc_.._wrad34_rad1 (dbl), jtwc_.._wrad34_rad2 -#> (dbl), jtwc_.._wrad34_rad3 (dbl), jtwc_.._wrad34_rad4 (dbl), -#> jtwc_.._wrad50_rad1 (dbl), jtwc_.._wrad50_rad2 (dbl), -#> jtwc_.._wrad50_rad3 (dbl), jtwc_.._wrad50_rad4 (dbl), -#> jtwc_.._wrad64_rad1 (dbl), jtwc_.._wrad64_rad2 (dbl), +#> serial_num season num basin sub_basin name iso_time nature latitude longitude wind.wmo. pres.wmo. center wind.wmo..percentile +#> 1 2009317S10073 2010 1 SI MM ANJA 2009-11-13 06:00:00 TS -9.5 72.5 0 1006 reunion -100.000 +#> 2 2009317S10073 2010 1 SI MM ANJA 2009-11-13 12:00:00 TS -10.2 71.9 0 1004 reunion -100.000 +#> 3 2009317S10073 2010 1 SI MM ANJA 2009-11-13 18:00:00 TS -11.1 71.4 25 1002 reunion 15.909 +#> 4 2009317S10073 2010 1 SI MM ANJA 2009-11-14 00:00:00 TS -11.9 71.1 28 999 reunion 29.029 +#> 5 2009317S10073 2010 1 SI MM ANJA 2009-11-14 06:00:00 TS -12.5 70.9 33 996 reunion 42.130 +#> 6 2009317S10073 2010 1 SI MM ANJA 2009-11-14 12:00:00 TS -12.8 70.7 40 992 reunion 58.657 +#> 7 2009317S10073 2010 1 SI MM ANJA 2009-11-14 18:00:00 TS -12.9 70.6 50 985 reunion 71.928 +#> 8 2009317S10073 2010 1 SI MM ANJA 2009-11-15 00:00:00 TS -12.9 70.5 60 975 reunion 81.694 +#> 9 2009317S10073 2010 1 SI MM ANJA 2009-11-15 06:00:00 TS -13.0 70.2 80 960 reunion 92.461 +#> 10 2009317S10073 2010 1 SI MM ANJA 2009-11-15 12:00:00 TS -13.1 69.9 90 950 reunion 96.020 +#> .. ... ... ... ... ... ... ... ... ... ... ... ... ... ... +#> Variables not shown: pres.wmo..percentile (dbl), track_type (chr), latitude_for_mapping (dbl), longitude_for_mapping (dbl), current.basin (chr), +#> hurdat_atl_lat (dbl), hurdat_atl_lon (dbl), hurdat_atl_grade (dbl), hurdat_atl_wind (dbl), hurdat_atl_pres (dbl), td9636_lat (dbl), td9636_lon +#> (dbl), td9636_grade (dbl), td9636_wind (dbl), td9636_pres (dbl), reunion_lat (dbl), reunion_lon (dbl), reunion_grade (dbl), reunion_wind (dbl), +#> reunion_pres (dbl), atcf_lat (dbl), atcf_lon (dbl), atcf_grade (dbl), atcf_wind (dbl), atcf_pres (dbl), ds824_sh_lat (dbl), ds824_sh_lon (dbl), +#> ds824_sh_grade (dbl), ds824_sh_wind (dbl), ds824_sh_pres (dbl), ds824_ni_lat (dbl), ds824_ni_lon (dbl), ds824_ni_grade (dbl), ds824_ni_wind (dbl), +#> ds824_ni_pres (dbl), bom_lat (dbl), bom_lon (dbl), bom_grade (dbl), bom_wind (dbl), bom_pres (dbl), ds824_au_lat (dbl), ds824_au_lon (dbl), +#> ds824_au_grade (dbl), ds824_au_wind (dbl), ds824_au_pres (dbl), jtwc_sh_lat (dbl), jtwc_sh_lon (dbl), jtwc_sh_grade (dbl), jtwc_sh_wind (dbl), +#> jtwc_sh_pres (dbl), jtwc_wp_lat (dbl), jtwc_wp_lon (dbl), jtwc_wp_grade (dbl), jtwc_wp_wind (dbl), jtwc_wp_pres (dbl), td9635_lat (dbl), td9635_lon +#> (dbl), td9635_grade (dbl), td9635_wind (dbl), td9635_pres (dbl), ds824_wp_lat (dbl), ds824_wp_lon (dbl), ds824_wp_grade (dbl), ds824_wp_wind (dbl), +#> ds824_wp_pres (dbl), jtwc_io_lat (dbl), jtwc_io_lon (dbl), jtwc_io_grade (dbl), jtwc_io_wind (dbl), jtwc_io_pres (dbl), cma_lat (dbl), cma_lon +#> (dbl), cma_grade (dbl), cma_wind (dbl), cma_pres (dbl), hurdat_epa_lat (dbl), hurdat_epa_lon (dbl), hurdat_epa_grade (dbl), hurdat_epa_wind (dbl), +#> hurdat_epa_pres (dbl), jtwc_ep_lat (dbl), jtwc_ep_lon (dbl), jtwc_ep_grade (dbl), jtwc_ep_wind (dbl), jtwc_ep_pres (dbl), ds824_ep_lat (dbl), +#> ds824_ep_lon (dbl), ds824_ep_grade (dbl), ds824_ep_wind (dbl), ds824_ep_pres (dbl), jtwc_cp_lat (dbl), jtwc_cp_lon (dbl), jtwc_cp_grade (dbl), +#> jtwc_cp_wind (dbl), jtwc_cp_pres (dbl), tokyo_lat (dbl), tokyo_lon (dbl), tokyo_grade (dbl), tokyo_wind (dbl), tokyo_pres (dbl), neumann_lat (dbl), +#> neumann_lon (dbl), neumann_grade (dbl), neumann_wind (dbl), neumann_pres (dbl), hko_lat (dbl), hko_lon (dbl), hko_grade (dbl), hko_wind (dbl), +#> hko_pres (dbl), cphc_lat (dbl), cphc_lon (dbl), cphc_grade (dbl), cphc_wind (dbl), cphc_pres (dbl), wellington_lat (dbl), wellington_lon (dbl), +#> wellington_grade (dbl), wellington_wind (dbl), wellington_pres (dbl), newdelhi_lat (dbl), newdelhi_lon (dbl), newdelhi_grade (dbl), newdelhi_wind +#> (dbl), newdelhi_pres (dbl), nadi_lat (dbl), nadi_lon (dbl), nadi_grade (dbl), nadi_wind (dbl), nadi_pres (dbl), reunion_rmw (dbl), +#> reunion_wind_radii_1_ne (dbl), reunion_wind_radii_1_se (dbl), reunion_wind_radii_1_sw (dbl), reunion_wind_radii_1_nw (dbl), reunion_wind_radii_2_ne +#> (dbl), reunion_wind_radii_2_se (dbl), reunion_wind_radii_2_sw (dbl), reunion_wind_radii_2_nw (dbl), bom_mn_hurr_xtnt (dbl), bom_mn_gale_xtnt (dbl), +#> bom_mn_eye_diam (dbl), bom_roci (dbl), atcf_rmw (dbl), atcf_poci (dbl), atcf_roci (dbl), atcf_eye (dbl), atcf_wrad34_rad1 (dbl), atcf_wrad34_rad2 +#> (dbl), atcf_wrad34_rad3 (dbl), atcf_wrad34_rad4 (dbl), atcf_wrad50_rad1 (dbl), atcf_wrad50_rad2 (dbl), atcf_wrad50_rad3 (dbl), atcf_wrad50_rad4 +#> (dbl), atcf_wrad64_rad1 (dbl), atcf_wrad64_rad2 (dbl), atcf_wrad64_rad3 (dbl), atcf_wrad64_rad4 (dbl), tokyo_dir50 (dbl), tokyo_long50 (dbl), +#> tokyo_short50 (dbl), tokyo_dir30 (dbl), tokyo_long30 (dbl), tokyo_short30 (dbl), jtwc_.._rmw (dbl), jtwc_.._poci (dbl), jtwc_.._roci (dbl), +#> jtwc_.._eye (dbl), jtwc_.._wrad34_rad1 (dbl), jtwc_.._wrad34_rad2 (dbl), jtwc_.._wrad34_rad3 (dbl), jtwc_.._wrad34_rad4 (dbl), jtwc_.._wrad50_rad1 +#> (dbl), jtwc_.._wrad50_rad2 (dbl), jtwc_.._wrad50_rad3 (dbl), jtwc_.._wrad50_rad4 (dbl), jtwc_.._wrad64_rad1 (dbl), jtwc_.._wrad64_rad2 (dbl), #> jtwc_.._wrad64_rad3 (dbl), jtwc_.._wrad64_rad4 (dbl) ``` -## ERDDAP data - -ERDDAP is a server built on top of OPenDAP, which serves some NOAA data. You can get gridded data ([griddap](http://upwell.pfeg.noaa.gov/erddap/griddap/documentation.html)), which lets you query from gridded datasets, or table data ([tabledap](http://upwell.pfeg.noaa.gov/erddap/tabledap/documentation.html)) which lets you query from tabular datasets. In terms of how we interface with them, there are similarties, but some differences too. We try to make a similar interface to both data types in `rnoaa`. - -First, you likely want to search for data, specify either `griddadp` or `tabledap` - - -```r -erddap_search(query='size', which = "table") -#> 11 results, showing first 20 -#> title -#> 1 CalCOFI Fish Sizes -#> 2 CalCOFI Larvae Sizes -#> 3 Channel Islands, Kelp Forest Monitoring, Size and Frequency, Natural Habitat -#> 4 OBIS - ARGOS Satellite Tracking of Animals -#> 5 GLOBEC NEP MOCNESS Plankton (MOC1) Data -#> 6 GLOBEC NEP Vertical Plankton Tow (VPT) Data -#> 7 NWFSC Observer Fixed Gear Data, off West Coast of US, 2002-2006 -#> 8 NWFSC Observer Trawl Data, off West Coast of US, 2002-2006 -#> 9 CalCOFI Larvae Counts Positive Tows -#> 10 CalCOFI Tows -#> 12 AN EXPERIMENTAL DATASET: Underway Sea Surface Temperature and Salinity Aboard the Oleander -#> dataset_id -#> 1 erdCalCOFIfshsiz -#> 2 erdCalCOFIlrvsiz -#> 3 erdCinpKfmSFNH -#> 4 aadcArgos -#> 5 erdGlobecMoc1 -#> 6 erdGlobecVpt -#> 7 nwioosObsFixed2002 -#> 8 nwioosObsTrawl2002 -#> 9 erdCalCOFIlrvcntpos -#> 10 erdCalCOFItows -#> 12 nodcPJJU -``` - - -```r -erddap_search(query='size', which = "grid") -#> 6 results, showing first 20 -#> title -#> 11 NOAA Global Coral Bleaching Monitoring Products -#> 13 Coawst 4 use, Best Time Series [time][eta_rho][xi_rho] -#> 14 Coawst 4 use, Best Time Series [time][eta_u][xi_u] -#> 15 Coawst 4 use, Best Time Series [time][eta_v][xi_v] -#> 16 Coawst 4 use, Best Time Series [time][s_rho][eta_rho][xi_rho] -#> 17 Coawst 4 use, Best Time Series [time][Nbed][eta_rho][xi_rho] -#> dataset_id -#> 11 NOAA_DHW -#> 13 whoi_ed12_89ce_9592 -#> 14 whoi_61c3_0b5d_cd61 -#> 15 whoi_62d0_9d64_c8ff -#> 16 whoi_7dd7_db97_4bbe -#> 17 whoi_a4fb_2c9c_16a7 -``` - -Then you can get information on a single dataset - - -```r -erddap_info('whoi_7dd7_db97_4bbe') -#> whoi_7dd7_db97_4bbe -#> Dimensions (range): -#> time: (2012-06-25T01:00:00Z, 2015-03-02T00:00:00Z) -#> s_rho: (-0.96875, -0.03125) -#> eta_rho: (0, 335) -#> xi_rho: (0, 895) -#> Variables: -#> rho: -#> Units: kilogram meter-3 -#> salt: -#> Units: 0.001 -#> sand_01: -#> Units: kilogram meter-3 -#> sand_02: -#> Units: kilogram meter-3 -#> sand_03: -#> Units: kilogram meter-3 -#> sand_04: -#> Units: kilogram meter-3 -#> sand_05: -#> Units: kilogram meter-3 -#> sand_06: -#> Units: kilogram meter-3 -#> temp: -#> Units: Celsius -``` - -__griddap data__ - - -```r -(out <- erddap_info('noaa_esrl_027d_0fb5_5d38')) -#> noaa_esrl_027d_0fb5_5d38 -#> Dimensions (range): -#> time: (1850-01-01T00:00:00Z, 2014-05-01T00:00:00Z) -#> latitude: (87.5, -87.5) -#> longitude: (-177.5, 177.5) -#> Variables: -#> air: -#> Range: -20.9, 19.5 -#> Units: degC -``` - - -```r -(res <- erddap_grid(out, - time = c('2012-01-01','2012-06-12'), - latitude = c(21, 18), - longitude = c(-80, -75) -)) -#> noaa_esrl_027d_0fb5_5d38 -#> Path: [/Users/sacmac/.rnoaa/erddap/654539f754bea2d7feac0d975a936f7d.csv] -#> Last updated: [2015-02-11 19:00:45] -#> File size: [0.94 KB] -#> Dimensions: [24 X 4] -#> -#> time latitude longitude air -#> 1 2012-01-01T00:00:00Z 22.5 -77.5 NaN -#> 2 2012-01-01T00:00:00Z 22.5 -72.5 NaN -#> 3 2012-01-01T00:00:00Z 17.5 -77.5 -0.1 -#> 4 2012-01-01T00:00:00Z 17.5 -72.5 NaN -#> 5 2012-02-01T00:00:00Z 22.5 -77.5 NaN -#> 6 2012-02-01T00:00:00Z 22.5 -72.5 NaN -#> 7 2012-02-01T00:00:00Z 17.5 -77.5 0.4 -#> 8 2012-02-01T00:00:00Z 17.5 -72.5 NaN -#> 9 2012-03-01T00:00:00Z 22.5 -77.5 NaN -#> 10 2012-03-01T00:00:00Z 22.5 -72.5 NaN -#> .. ... ... ... ... -``` - -__tabledap data__ - - -```r -(out <- erddap_info('erdCalCOFIfshsiz')) -#> erdCalCOFIfshsiz -#> Variables: -#> calcofi_species_code: -#> Range: 19, 1550 -#> common_name: -#> cruise: -#> fish_1000m3: -#> Units: Fish per 1,000 cubic meters of water sampled -#> fish_count: -#> fish_size: -#> Units: mm -#> itis_tsn: -#> latitude: -#> Range: 32.515, 38.502 -#> Units: degrees_north -#> line: -#> Range: 46.6, 93.3 -#> longitude: -#> Range: -128.5, -117.33 -#> Units: degrees_east -#> net_location: -#> net_type: -#> order_occupied: -#> percent_sorted: -#> Units: %/100 -#> sample_quality: -#> scientific_name: -#> ship: -#> ship_code: -#> standard_haul_factor: -#> station: -#> Range: 28.0, 114.9 -#> time: -#> Range: 9.94464E8, 9.9510582E8 -#> Units: seconds since 1970-01-01T00:00:00Z -#> tow_number: -#> Range: 2, 10 -#> tow_type: -#> volume_sampled: -#> Units: cubic meters -``` - - -```r -erddap_table(out, fields=c('longitude','latitude','fish_size','itis_tsn'), - 'time>=2001-07-07','time<=2001-07-10') -#> erdCalCOFIfshsiz -#> Path: [~/.rnoaa/erddap/erdCalCOFIfshsiz.csv] -#> Last updated: [2014-12-19 09:14:01] -#> File size: [0.02 mb] -#> Dimensions: [558 X 4] -#> -#> longitude latitude fish_size itis_tsn -#> 2 -118.26 33.255 22.9 623745 -#> 3 -118.26 33.255 22.9 623745 -#> 4 -118.10667 32.738335 31.5 623625 -#> 5 -118.10667 32.738335 48.3 623625 -#> 6 -118.10667 32.738335 15.5 162221 -#> 7 -118.10667 32.738335 16.3 162221 -#> 8 -118.10667 32.738335 17.8 162221 -#> 9 -118.10667 32.738335 18.2 162221 -#> 10 -118.10667 32.738335 19.2 162221 -#> 11 -118.10667 32.738335 20.0 162221 -#> .. ... ... ... ... -``` - ## Meta * Please [report any issues or bugs](https://github.com/ropensci/rnoaa/issues). diff --git a/inst/img/unnamed-chunk-14-1.png b/inst/img/unnamed-chunk-14-1.png index 71cb97f330c0ddc5eed21662de43b0673fd3b51f..72d32fe261c2e7095e715edc23d22bf9b9121ec8 100644 GIT binary patch literal 50978 zcmeFZWmJ`IyEZBlknWNOX$1jkB&IZy23;Z@lU8a{3L;V>-5>%gCDM&ZNlrjOS{ejI zx?x}UdH41PQhh!{3}Bd8-0;d3%)fT>^4hBM@+{hJ&enF0R#&cwM@H&QIZr&Ilnrw>eorl% zRT@Q16<(tA(5QxQC&l~T*KXsyeI4W8>gwV;{hdC1-Vg`P}VS3{w zM@QJY|78QCT=n5ys$ur`(jMb*+t~f*pInMd9@d$(SI3kDNGyBGYz~OPJM>cKlT>LR zPj8!uWX42iCMDd_WyR~i%e4#7&-2x+HNFMA)gGce^39C(>$Dio_}Yd0Q{9jGnCuyH zj(XC5Oj~w=aUbs#ldw!H9sT8*xjVTfHOF|1^Oe52SHe8+Hz5XQ67h$>xt}D2zaOo* zF~`w*CM0;|NVvoByn;=O?>Aj-kI(&Q8!6_4`n6ix7yTm6qJ~>OTdUhkoY8Z2(Zi;m z9Y06|iXCcHTlv`9VaP#hy`Sdc)p;qj*^a~oYnNLG^R961*g%cq;|W@F342e$nO79{3*ezfl&c@Es8@p>+v_j 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zjN(OTqUJN$)h~86d4w}Rx-Sz^l842Kcz|w*7%%3pTL#N!@>TOGgrSd$pr(Do$JLO? zbw!c5ieA2@qz`Aree5<+@4XdP_n>{eb_4V;5^`(mr3kr3ygo#0U~VtPv^k{-`etT& z|Bb@D=(Wvh4#J546X8e;*=gXO0wnh+^mpEKZ&rnI%Ce~^F*C)BcMd0BlE~1Zy}SE* zw{fFJOlG8c3HtnYLv`mUqZ=D@^5Yo22s6JJXqjJnIHAAtYhBkR*&>5x)iOyZyi1)* zh9Le0L6Q(Xcw+4;dB8VEI6qFafV`UDr%sA#IhDZls0A=ph<2phRH;2Xc^%&uDDm>8yK(2rI7r}cO} z2~AEnFOegA=sjlxB8Z0u+-awwqC!#E>~dRq3-c1FDik;Ps}ZJI{?$?`=_fSfk`OE2 zg~&LcreeJD>Vb%^aSfacig)FUAV=K~;leftI<8l z7A}psnl@;-;%m;|k=5oiZhYkITjn8*bGiq`2UPnbYyFTsPj_ZI2XFXe zXTx7cUI$8=?|9SKZJwu;wY4?9VL!fSL_iUT?149xuSjHQB_;j-xMzVw&S%@LKApS+!YBKCmqGxy&o3k*4X@M2nIhv zxe=CdIYAniRsrd1Ak@LDssZFlu_SEy^XM2P;hLqu;#y;VcRw#4z&{+S3^^fdUh{j+z0;IZ^e^1H9UN=(&*1@*aPg;WQBF9 zGU$*X`J^KuW%teWE`u6n_v_#O?(mPsx-Wg=8#n3dv0^pwyNN%3!#NFjZEZTFd-vHy z<)3E4$;0EE7xe7u)!+pMbpD@=9umQjuIDwk{W)eUaMrg`iN|f5OPJfJSpUV6HyTg} zie+o~mybJNZ%TdpU#I?g*}v_7E$}}rpydS?%IePs83lbFh+4`p{0r_IWZ6vz=kGQL zewY4l=>5 - -```{r echo=FALSE} -knitr::opts_chunk$set( - comment = "#>", - collapse = TRUE, - warning = FALSE, - message = FALSE, - cache = TRUE -) -``` - -ERDDAP vignette -====== - -ERDDAP gives a simple, consistent way to download subsets of gridded and tabular scientific datasets in common file formats and make graphs and maps. This ERDDAP installation has oceanographic data (for example, data from satellites and buoys). - -Find out more about ERDDAP at [http://coastwatch.pfeg.noaa.gov/erddap/index.html](http://coastwatch.pfeg.noaa.gov/erddap/index.html). - -## Load rnoaa - -```{r} -library('rnoaa') -``` - -## Passing the datasetid without fields gives all columns back - -```{r one} -erddap_table('erdCalCOFIfshsiz') -``` - -## Pass time constraints - -```{r two} -erddap_table('erdCalCOFIfshsiz', 'time>=2001-07-07', 'time<=2001-07-08') -``` - -## Pass in fields (i.e., columns to retrieve) & time constraints - -```{r three} -erddap_table('erdCalCOFIfshsiz', fields=c('longitude','latitude','fish_size','itis_tsn'), 'time>=2001-07-07','time<=2001-07-10') -``` - -```{r} -erddap_table('erdCinpKfmBT', fields=c('latitude','longitude','Aplysia_californica_Mean_Density','Muricea_californica_Mean_Density'), 'time>=2007-06-24','time<=2007-07-01') -``` - -## An example workflow - -Search for data - -```{r} -(out <- erddap_search(query='size')) -``` - -Or, list datasets - -```{r} -tdp <- erddap_datasets('table') -``` - -Using a datasetid, search for information on a datasetid - -```{r} -id <- as.character(tdp$Dataset.ID[8]) -erddap_info(id)$variables -``` - -Get data from the dataset - -```{r} -erddap_table(id, fields = c('latitude','longitude')) -``` - -## Time constraint - -Limit by time with date only - -```{r} -erddap_table(id, fields = c('latitude','longitude','time'), 'time>=2001-07-14', 'time<=2001-09-14') -``` - -## Use distinct parameter - -```{r} -erddap_table('erdCalCOFIfshsiz', fields=c('longitude','latitude','fish_size','itis_tsn'), 'time>=2001-07-07','time<=2001-07-10', distinct=TRUE) -``` - -## The units parameter - -In this example, values are the same, but sometimes they can be different given the units value passed - -```{r} -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', units='udunits') -``` - -```{r} -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', units='ucum') -``` - -## The orderby parameter - -```{r} -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', orderby='temperature') -``` - -## The orderbymax parameter - -```{r} -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', orderbymax='temperature') -``` - -## The orderbymin parameter - -```{r} -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', orderbymin='temperature') -``` - -## The orderbyminmax parameter - -```{r} -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', orderbyminmax='temperature') -``` - -## The orderbymin parameter with multiple values - -```{r} -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','depth','temperature'), 'time>=2007-06-10', 'time<=2007-09-21', orderbymax=c('depth','temperature')) -``` - -## Spatial delimitation - -```{r} -erddap_table('erdCalCOFIfshsiz', fields = c('latitude','longitude','scientific_name'), 'latitude>=34.8', 'latitude<=35', 'longitude>=-125', 'longitude<=-124') -``` - -## Integrate with taxize - -```{r} -out <- erddap_table('erdCalCOFIfshsiz', fields = c('latitude','longitude','scientific_name','itis_tsn')) -tsns <- unique(out$itis_tsn[1:100]) -library("taxize") -classif <- classification(tsns, db = "itis") -head(rbind(classif)); tail(rbind(classif)) -``` diff --git a/inst/vign/erddap_vignette.md b/inst/vign/erddap_vignette.md deleted file mode 100644 index 7359fe5a..00000000 --- a/inst/vign/erddap_vignette.md +++ /dev/null @@ -1,478 +0,0 @@ - - - - -ERDDAP vignette -====== - -ERDDAP gives a simple, consistent way to download subsets of gridded and tabular scientific datasets in common file formats and make graphs and maps. This ERDDAP installation has oceanographic data (for example, data from satellites and buoys). - -Find out more about ERDDAP at [http://coastwatch.pfeg.noaa.gov/erddap/index.html](http://coastwatch.pfeg.noaa.gov/erddap/index.html). - -## Load rnoaa - - -```r -library('rnoaa') -``` - -## Passing the datasetid without fields gives all columns back - - -```r -erddap_table('erdCalCOFIfshsiz') -#> erdCalCOFIfshsiz -#> Path: [/Users/sacmac/.rnoaa/erddap/f18cc75d8bf5ca831a96f42486a7bd5d.csv] -#> Last updated: [2014-12-19 15:47:55] -#> File size: [4.6 MB] -#> Dimensions: [20939 X 24] -#> -#> cruise ship ship_code order_occupied tow_type net_type -#> 2 199104 DAVID STARR JORDAN JD 1 MOCNESS_1m M1 -#> 3 199104 DAVID STARR JORDAN JD 2 MOCNESS_1m M1 -#> 4 199104 DAVID STARR JORDAN JD 2 MOCNESS_1m M1 -#> 5 199104 DAVID STARR JORDAN JD 2 MOCNESS_1m M1 -#> 6 199104 DAVID STARR JORDAN JD 4 MOCNESS_1m M1 -#> 7 199104 DAVID STARR JORDAN JD 5 MOCNESS_1m M1 -#> 8 199104 DAVID STARR JORDAN JD 6 MOCNESS_1m M1 -#> 9 199104 DAVID STARR JORDAN JD 7 MOCNESS_1m M1 -#> 10 199104 DAVID STARR JORDAN JD 11 MOCNESS_1m M1 -#> 11 199104 DAVID STARR JORDAN JD 32 MOCNESS_1m M1 -#> .. ... ... ... ... ... ... -#> Variables not shown: tow_number (int), net_location (chr), -#> standard_haul_factor (dbl), volume_sampled (chr), percent_sorted -#> (chr), sample_quality (dbl), latitude (chr), longitude (chr), line -#> (dbl), station (dbl), time (chr), scientific_name (chr), common_name -#> (chr), itis_tsn (int), calcofi_species_code (int), fish_size (chr), -#> fish_count (dbl), fish_1000m3 (chr) -``` - -## Pass time constraints - - -```r -erddap_table('erdCalCOFIfshsiz', 'time>=2001-07-07', 'time<=2001-07-08') -#> erdCalCOFIfshsiz -#> Path: [/Users/sacmac/.rnoaa/erddap/9e5119eb5c8ed63b9619be1367b0344c.csv] -#> Last updated: [2014-12-19 18:07:32] -#> File size: [0.05 MB] -#> Dimensions: [217 X 24] -#> -#> cruise ship ship_code order_occupied tow_type net_type -#> 2 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 3 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 4 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 5 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 6 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 7 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 8 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 9 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 10 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 11 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> .. ... ... ... ... ... ... -#> Variables not shown: tow_number (int), net_location (chr), -#> standard_haul_factor (dbl), volume_sampled (chr), percent_sorted -#> (chr), sample_quality (dbl), latitude (chr), longitude (chr), line -#> (dbl), station (dbl), time (chr), scientific_name (chr), common_name -#> (chr), itis_tsn (int), calcofi_species_code (int), fish_size (chr), -#> fish_count (dbl), fish_1000m3 (chr) -``` - -## Pass in fields (i.e., columns to retrieve) & time constraints - - -```r -erddap_table('erdCalCOFIfshsiz', fields=c('longitude','latitude','fish_size','itis_tsn'), 'time>=2001-07-07','time<=2001-07-10') -#> erdCalCOFIfshsiz -#> Path: [/Users/sacmac/.rnoaa/erddap/7b04d4ddfe4ad3540ec6213129fa050c.csv] -#> Last updated: [2014-12-19 18:07:47] -#> File size: [0.02 MB] -#> Dimensions: [558 X 4] -#> -#> longitude latitude fish_size itis_tsn -#> 2 -118.26 33.255 22.9 623745 -#> 3 -118.26 33.255 22.9 623745 -#> 4 -118.10667 32.738335 31.5 623625 -#> 5 -118.10667 32.738335 48.3 623625 -#> 6 -118.10667 32.738335 15.5 162221 -#> 7 -118.10667 32.738335 16.3 162221 -#> 8 -118.10667 32.738335 17.8 162221 -#> 9 -118.10667 32.738335 18.2 162221 -#> 10 -118.10667 32.738335 19.2 162221 -#> 11 -118.10667 32.738335 20.0 162221 -#> .. ... ... ... ... -``` - - -```r -erddap_table('erdCinpKfmBT', fields=c('latitude','longitude','Aplysia_californica_Mean_Density','Muricea_californica_Mean_Density'), 'time>=2007-06-24','time<=2007-07-01') -#> erdCinpKfmBT -#> Path: [/Users/sacmac/.rnoaa/erddap/681451f3fee8ee9e426012609975a89e.csv] -#> Last updated: [2014-12-19 18:08:22] -#> File size: [1.49 KB] -#> Dimensions: [37 X 4] -#> -#> latitude longitude Aplysia_californica_Mean_Density -#> 2 34.0 -119.416666666667 0.009722223 -#> 3 34.0 -119.383333333333 0.0 -#> 4 34.0 -119.366666666667 0.0 -#> 5 34.0 -119.383333333333 0.16 -#> 6 34.0 -119.416666666667 0.03 -#> 7 34.0166666666667 -119.35 0.0 -#> 8 34.0 -119.35 0.008333334 -#> 9 33.0 -118.533333333333 NaN -#> 10 32.95 -118.533333333333 NaN -#> 11 32.8 -118.4 NaN -#> .. ... ... ... -#> Variables not shown: Muricea_californica_Mean_Density (chr) -``` - -## An example workflow - -Search for data - - -```r -(out <- erddap_search(query='size')) -#> 6 results, showing first 20 -#> title -#> 11 NOAA Global Coral Bleaching Monitoring Products -#> 12 Coawst 4 use, Best Time Series [time][eta_rho][xi_rho] -#> 13 Coawst 4 use, Best Time Series [time][eta_u][xi_u] -#> 14 Coawst 4 use, Best Time Series [time][eta_v][xi_v] -#> 15 Coawst 4 use, Best Time Series [time][s_rho][eta_rho][xi_rho] -#> 16 Coawst 4 use, Best Time Series [time][Nbed][eta_rho][xi_rho] -#> dataset_id -#> 11 NOAA_DHW -#> 12 whoi_ed12_89ce_9592 -#> 13 whoi_61c3_0b5d_cd61 -#> 14 whoi_62d0_9d64_c8ff -#> 15 whoi_7dd7_db97_4bbe -#> 16 whoi_a4fb_2c9c_16a7 -``` - -Or, list datasets - - -```r -tdp <- erddap_datasets('table') -``` - -Using a datasetid, search for information on a datasetid - - -```r -id <- as.character(tdp$Dataset.ID[8]) -erddap_info(id)$variables -#> variable_name data_type actual_range -#> 1 cndc float -#> 2 cndc_adjusted float -#> 3 cndc_adjusted_error float -#> 4 cndc_adjusted_qc float -#> 5 cndc_qc float -#> 6 doxy float -#> 7 doxy_adjusted float -#> 8 doxy_adjusted_error float -#> 9 doxy_adjusted_qc float -#> 10 doxy_qc float -#> 11 id int -#> 12 latitude float -90.0, 90.0 -#> 13 longitude float 0.0, 360.0 -#> 14 pres float -#> 15 pres_adjusted float -#> 16 pres_adjusted_error float -#> 17 pres_adjusted_qc float -#> 18 pres_qc float -#> 19 psal float -#> 20 psal_adjusted float -#> 21 psal_adjusted_error float -#> 22 psal_adjusted_qc float -#> 23 psal_qc float -#> 24 temp float -#> 25 temp_adjusted float -#> 26 temp_adjusted_error float -#> 27 temp_adjusted_qc float -#> 28 temp_doxy float -#> 29 temp_doxy_adjusted float -#> 30 temp_doxy_adjusted_error float -#> 31 temp_doxy_adjusted_qc float -#> 32 temp_doxy_qc float -#> 33 temp_qc float -#> 34 time double 8.1048066E8, NaN -``` - -Get data from the dataset - - -```r -erddap_table(id, fields = c('latitude','longitude')) -#> apdrcArgoAll -#> Path: [/Users/sacmac/.rnoaa/erddap/7b238871e478bf43df2e1f703e6e85e5.csv] -#> Last updated: [2014-12-19 18:15:39] -#> File size: [0.07 MB] -#> Dimensions: [5000 X 2] -#> -#> latitude longitude -#> 2 49.868 215.335 -#> 3 50.023 215.47 -#> 4 50.115 215.676 -#> 5 50.156 215.676 -#> 6 50.132 215.601 -#> 7 50.1 215.544 -#> 8 50.158 215.582 -#> 9 50.278 215.585 -#> 10 50.417 215.702 -#> 11 50.548 215.779 -#> .. ... ... -``` - -## Time constraint - -Limit by time with date only - - -```r -erddap_table(id, fields = c('latitude','longitude','time'), 'time>=2001-07-14', 'time<=2001-09-14') -#> apdrcArgoAll -#> Path: [/Users/sacmac/.rnoaa/erddap/d449b321be463619aab879c8ca2e40e7.csv] -#> Last updated: [2014-12-19 18:22:51] -#> File size: [0.05 MB] -#> Dimensions: [1490 X 3] -#> -#> latitude longitude time -#> 2 75.005 0.583 2001-07-14T04:29:00Z -#> 3 73.819 1.418 2001-07-14T01:01:59Z -#> 4 -24.702 106.08 2001-07-14T00:33:23Z -#> 5 -12.953 108.299 2001-07-14T04:23:12Z -#> 6 4.943 164.673 2001-07-14T18:36:46Z -#> 7 -4.769 189.924 2001-07-14T21:49:35Z -#> 8 11.312 195.319 2001-07-14T06:15:47Z -#> 9 48.906 229.489 2001-07-14T14:50:00Z -#> 10 -10.93 235.776 2001-07-14T08:47:12Z -#> 11 11.672 264.219 2001-07-14T05:31:14Z -#> .. ... ... ... -``` - -## Use distinct parameter - - -```r -erddap_table('erdCalCOFIfshsiz', fields=c('longitude','latitude','fish_size','itis_tsn'), 'time>=2001-07-07','time<=2001-07-10', distinct=TRUE) -#> erdCalCOFIfshsiz -#> Path: [/Users/sacmac/.rnoaa/erddap/e05d5adb0fecd3bb2276c920e1bd2457.csv] -#> Last updated: [2014-12-19 18:16:09] -#> File size: [0.02 MB] -#> Dimensions: [518 X 4] -#> -#> longitude latitude fish_size itis_tsn -#> 2 -118.74333 32.873333 14.2 162584 -#> 3 -118.74333 32.873333 15.0 162221 -#> 4 -118.74333 32.873333 15.2 170085 -#> 5 -118.74333 32.873333 17.2 162221 -#> 6 -118.74333 32.873333 18.3 162221 -#> 7 -118.74333 32.873333 18.7 170085 -#> 8 -118.74333 32.873333 20.0 162664 -#> 9 -118.74333 32.873333 20.2 162664 -#> 10 -118.74333 32.873333 20.4 623745 -#> 11 -118.74333 32.873333 23.1 623745 -#> .. ... ... ... ... -``` - -## The units parameter - -In this example, values are the same, but sometimes they can be different given the units value passed - - -```r -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', units='udunits') -#> erdCinpKfmT -#> Path: [/Users/sacmac/.rnoaa/erddap/d1aaf6eca896d080b1c2251f7a8cec17.csv] -#> Last updated: [2014-12-19 18:16:21] -#> File size: [2.18 KB] -#> Dimensions: [48 X 4] -#> -#> longitude latitude time temperature -#> 2 -120.1 33.883335 2007-09-19T00:13:00Z 16.22 -#> 3 -120.1 33.883335 2007-09-19T01:13:00Z 16.38 -#> 4 -120.1 33.883335 2007-09-19T02:13:00Z 16.38 -#> 5 -120.1 33.883335 2007-09-19T03:13:00Z 16.38 -#> 6 -120.1 33.883335 2007-09-19T04:13:00Z 14.48 -#> 7 -120.1 33.883335 2007-09-19T05:13:00Z 13.86 -#> 8 -120.1 33.883335 2007-09-19T06:13:00Z 13.55 -#> 9 -120.1 33.883335 2007-09-19T07:13:00Z 13.24 -#> 10 -120.1 33.883335 2007-09-19T08:13:00Z 13.09 -#> 11 -120.1 33.883335 2007-09-19T09:13:00Z 12.78 -#> .. ... ... ... ... -``` - - -```r -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', units='ucum') -#> erdCinpKfmT -#> Path: [/Users/sacmac/.rnoaa/erddap/a53175d2b882b8054906b46d4efe8218.csv] -#> Last updated: [2014-12-19 18:16:34] -#> File size: [2.17 KB] -#> Dimensions: [48 X 4] -#> -#> longitude latitude time temperature -#> 2 -120.1 33.883335 2007-09-19T00:13:00Z 16.22 -#> 3 -120.1 33.883335 2007-09-19T01:13:00Z 16.38 -#> 4 -120.1 33.883335 2007-09-19T02:13:00Z 16.38 -#> 5 -120.1 33.883335 2007-09-19T03:13:00Z 16.38 -#> 6 -120.1 33.883335 2007-09-19T04:13:00Z 14.48 -#> 7 -120.1 33.883335 2007-09-19T05:13:00Z 13.86 -#> 8 -120.1 33.883335 2007-09-19T06:13:00Z 13.55 -#> 9 -120.1 33.883335 2007-09-19T07:13:00Z 13.24 -#> 10 -120.1 33.883335 2007-09-19T08:13:00Z 13.09 -#> 11 -120.1 33.883335 2007-09-19T09:13:00Z 12.78 -#> .. ... ... ... ... -``` - -## The orderby parameter - - -```r -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', orderby='temperature') -#> erdCinpKfmT -#> Path: [/Users/sacmac/.rnoaa/erddap/9339183f5e454127988667d44e8fb0ca.csv] -#> Last updated: [2014-12-19 18:16:44] -#> File size: [2.18 KB] -#> Dimensions: [48 X 4] -#> -#> longitude latitude time temperature -#> 2 -120.1 33.883335 2007-09-20T12:13:00Z 12.0 -#> 3 -120.1 33.883335 2007-09-20T13:13:00Z 12.0 -#> 4 -120.1 33.883335 2007-09-20T14:13:00Z 12.0 -#> 5 -120.1 33.883335 2007-09-20T11:13:00Z 12.16 -#> 6 -120.1 33.883335 2007-09-20T15:13:00Z 12.16 -#> 7 -120.1 33.883335 2007-09-20T10:13:00Z 12.31 -#> 8 -120.1 33.883335 2007-09-20T16:13:00Z 12.31 -#> 9 -120.1 33.883335 2007-09-20T17:13:00Z 12.62 -#> 10 -120.1 33.883335 2007-09-19T09:13:00Z 12.78 -#> 11 -120.1 33.883335 2007-09-20T09:13:00Z 12.78 -#> .. ... ... ... ... -``` - -## The orderbymax parameter - - -```r -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', orderbymax='temperature') -#> erdCinpKfmT -#> Path: [/Users/sacmac/.rnoaa/erddap/e6e6116b3870afc9c093f6dab56ce6ba.csv] -#> Last updated: [2014-12-19 18:16:53] -#> File size: [0.12 KB] -#> Dimensions: [1 X 4] -#> -#> longitude latitude time temperature -#> 2 -120.1 33.883335 2007-09-19T03:13:00Z 16.38 -``` - -## The orderbymin parameter - - -```r -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', orderbymin='temperature') -#> erdCinpKfmT -#> Path: [/Users/sacmac/.rnoaa/erddap/04557d97f6ecec410b114fc90da503d1.csv] -#> Last updated: [2014-12-19 18:17:12] -#> File size: [0.12 KB] -#> Dimensions: [1 X 4] -#> -#> longitude latitude time temperature -#> 2 -120.1 33.883335 2007-09-20T12:13:00Z 12.0 -``` - -## The orderbyminmax parameter - - -```r -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', orderbyminmax='temperature') -#> erdCinpKfmT -#> Path: [/Users/sacmac/.rnoaa/erddap/4bd33e3b4de0d050b250fbccfd436ab7.csv] -#> Last updated: [2014-12-19 18:17:15] -#> File size: [0.16 KB] -#> Dimensions: [2 X 4] -#> -#> longitude latitude time temperature -#> 2 -120.1 33.883335 2007-09-20T12:13:00Z 12.0 -#> 3 -120.1 33.883335 2007-09-19T03:13:00Z 16.38 -``` - -## The orderbymin parameter with multiple values - - -```r -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','depth','temperature'), 'time>=2007-06-10', 'time<=2007-09-21', orderbymax=c('depth','temperature')) -#> erdCinpKfmT -#> Path: [/Users/sacmac/.rnoaa/erddap/e84ec03c5003845e4df2208ae39a975a.csv] -#> Last updated: [2014-12-19 18:17:24] -#> File size: [0.61 KB] -#> Dimensions: [11 X 5] -#> -#> longitude latitude time depth temperature -#> 2 -119.53333 34.033333 2007-08-07T02:40:00Z 5 20.54 -#> 3 -119.36667 34.0 2007-07-05T03:42:00Z 6 19.72 -#> 4 -119.35 34.0 2007-08-05T18:32:00Z 8 21.23 -#> 5 -119.51667 34.033333 2007-08-06T04:02:00Z 9 20.47 -#> 6 -120.13333 33.9 2007-08-04T22:34:00Z 10 19.35 -#> 7 -119.38333 34.0 2007-08-02T15:38:00Z 11 20.86 -#> 8 -120.183334 33.916668 2007-08-04T23:50:00Z 12 19.92 -#> 9 -119.6 34.033333 2007-08-08T02:47:00Z 13 20.43 -#> 10 -119.816666 33.933334 2007-07-17T02:21:00Z 15 18.47 -#> 11 -119.416664 34.0 2007-07-10T23:25:00Z 16 19.14 -#> .. ... ... ... ... ... -``` - -## Spatial delimitation - - -```r -erddap_table('erdCalCOFIfshsiz', fields = c('latitude','longitude','scientific_name'), 'latitude>=34.8', 'latitude<=35', 'longitude>=-125', 'longitude<=-124') -#> erdCalCOFIfshsiz -#> Path: [/Users/sacmac/.rnoaa/erddap/8137b5814735d58e2d939b33a975c1a9.csv] -#> Last updated: [2014-12-19 15:48:00] -#> File size: [2.2 KB] -#> Dimensions: [56 X 3] -#> -#> latitude longitude scientific_name -#> 2 34.881668 -124.48 Cyclothone atraria -#> 3 34.881668 -124.48 Lipolagus ochotensis -#> 4 34.881668 -124.48 Bathylagoides wesethi -#> 5 34.881668 -124.48 Cyclothone acclinidens -#> 6 34.881668 -124.48 Cyclothone acclinidens -#> 7 34.881668 -124.48 Cyclothone signata -#> 8 34.881668 -124.48 Cyclothone signata -#> 9 34.881668 -124.48 Cyclothone signata -#> 10 34.881668 -124.48 Cyclothone signata -#> 11 34.881668 -124.48 Cyclothone signata -#> .. ... ... ... -``` - -## Integrate with taxize - - -```r -out <- erddap_table('erdCalCOFIfshsiz', fields = c('latitude','longitude','scientific_name','itis_tsn')) -tsns <- unique(out$itis_tsn[1:100]) -library("taxize") -classif <- classification(tsns, db = "itis") -head(rbind(classif)); tail(rbind(classif)) -#> name rank id query db -#> 1 Animalia Kingdom 202423 172887 itis -#> 2 Bilateria Subkingdom 914154 172887 itis -#> 3 Deuterostomia Infrakingdom 914156 172887 itis -#> 4 Chordata Phylum 158852 172887 itis -#> 5 Vertebrata Subphylum 331030 172887 itis -#> 6 Gnathostomata Infraphylum 914179 172887 itis -#> name rank id query db -#> 161 Stomiiformes Order 553138 162167 itis -#> 162 Gonostomatoidei Suborder 553151 162167 itis -#> 163 Gonostomatidae Family 162163 162167 itis -#> 164 Cyclothone Genus 162164 162167 itis -#> 165 Cyclothone pallida Species 162167 162167 itis -#> 166 Bathylagus wesethi Species 162092 162092 itis -``` diff --git a/vignettes/erddap_vignette.Rmd b/vignettes/erddap_vignette.Rmd deleted file mode 100644 index 7359fe5a..00000000 --- a/vignettes/erddap_vignette.Rmd +++ /dev/null @@ -1,478 +0,0 @@ - - - - -ERDDAP vignette -====== - -ERDDAP gives a simple, consistent way to download subsets of gridded and tabular scientific datasets in common file formats and make graphs and maps. This ERDDAP installation has oceanographic data (for example, data from satellites and buoys). - -Find out more about ERDDAP at [http://coastwatch.pfeg.noaa.gov/erddap/index.html](http://coastwatch.pfeg.noaa.gov/erddap/index.html). - -## Load rnoaa - - -```r -library('rnoaa') -``` - -## Passing the datasetid without fields gives all columns back - - -```r -erddap_table('erdCalCOFIfshsiz') -#> erdCalCOFIfshsiz -#> Path: [/Users/sacmac/.rnoaa/erddap/f18cc75d8bf5ca831a96f42486a7bd5d.csv] -#> Last updated: [2014-12-19 15:47:55] -#> File size: [4.6 MB] -#> Dimensions: [20939 X 24] -#> -#> cruise ship ship_code order_occupied tow_type net_type -#> 2 199104 DAVID STARR JORDAN JD 1 MOCNESS_1m M1 -#> 3 199104 DAVID STARR JORDAN JD 2 MOCNESS_1m M1 -#> 4 199104 DAVID STARR JORDAN JD 2 MOCNESS_1m M1 -#> 5 199104 DAVID STARR JORDAN JD 2 MOCNESS_1m M1 -#> 6 199104 DAVID STARR JORDAN JD 4 MOCNESS_1m M1 -#> 7 199104 DAVID STARR JORDAN JD 5 MOCNESS_1m M1 -#> 8 199104 DAVID STARR JORDAN JD 6 MOCNESS_1m M1 -#> 9 199104 DAVID STARR JORDAN JD 7 MOCNESS_1m M1 -#> 10 199104 DAVID STARR JORDAN JD 11 MOCNESS_1m M1 -#> 11 199104 DAVID STARR JORDAN JD 32 MOCNESS_1m M1 -#> .. ... ... ... ... ... ... -#> Variables not shown: tow_number (int), net_location (chr), -#> standard_haul_factor (dbl), volume_sampled (chr), percent_sorted -#> (chr), sample_quality (dbl), latitude (chr), longitude (chr), line -#> (dbl), station (dbl), time (chr), scientific_name (chr), common_name -#> (chr), itis_tsn (int), calcofi_species_code (int), fish_size (chr), -#> fish_count (dbl), fish_1000m3 (chr) -``` - -## Pass time constraints - - -```r -erddap_table('erdCalCOFIfshsiz', 'time>=2001-07-07', 'time<=2001-07-08') -#> erdCalCOFIfshsiz -#> Path: [/Users/sacmac/.rnoaa/erddap/9e5119eb5c8ed63b9619be1367b0344c.csv] -#> Last updated: [2014-12-19 18:07:32] -#> File size: [0.05 MB] -#> Dimensions: [217 X 24] -#> -#> cruise ship ship_code order_occupied tow_type net_type -#> 2 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 3 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 4 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 5 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 6 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 7 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 8 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 9 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 10 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> 11 200106 DAVID STARR JORDAN JD 43 MOCNESS_10m M2 -#> .. ... ... ... ... ... ... -#> Variables not shown: tow_number (int), net_location (chr), -#> standard_haul_factor (dbl), volume_sampled (chr), percent_sorted -#> (chr), sample_quality (dbl), latitude (chr), longitude (chr), line -#> (dbl), station (dbl), time (chr), scientific_name (chr), common_name -#> (chr), itis_tsn (int), calcofi_species_code (int), fish_size (chr), -#> fish_count (dbl), fish_1000m3 (chr) -``` - -## Pass in fields (i.e., columns to retrieve) & time constraints - - -```r -erddap_table('erdCalCOFIfshsiz', fields=c('longitude','latitude','fish_size','itis_tsn'), 'time>=2001-07-07','time<=2001-07-10') -#> erdCalCOFIfshsiz -#> Path: [/Users/sacmac/.rnoaa/erddap/7b04d4ddfe4ad3540ec6213129fa050c.csv] -#> Last updated: [2014-12-19 18:07:47] -#> File size: [0.02 MB] -#> Dimensions: [558 X 4] -#> -#> longitude latitude fish_size itis_tsn -#> 2 -118.26 33.255 22.9 623745 -#> 3 -118.26 33.255 22.9 623745 -#> 4 -118.10667 32.738335 31.5 623625 -#> 5 -118.10667 32.738335 48.3 623625 -#> 6 -118.10667 32.738335 15.5 162221 -#> 7 -118.10667 32.738335 16.3 162221 -#> 8 -118.10667 32.738335 17.8 162221 -#> 9 -118.10667 32.738335 18.2 162221 -#> 10 -118.10667 32.738335 19.2 162221 -#> 11 -118.10667 32.738335 20.0 162221 -#> .. ... ... ... ... -``` - - -```r -erddap_table('erdCinpKfmBT', fields=c('latitude','longitude','Aplysia_californica_Mean_Density','Muricea_californica_Mean_Density'), 'time>=2007-06-24','time<=2007-07-01') -#> erdCinpKfmBT -#> Path: [/Users/sacmac/.rnoaa/erddap/681451f3fee8ee9e426012609975a89e.csv] -#> Last updated: [2014-12-19 18:08:22] -#> File size: [1.49 KB] -#> Dimensions: [37 X 4] -#> -#> latitude longitude Aplysia_californica_Mean_Density -#> 2 34.0 -119.416666666667 0.009722223 -#> 3 34.0 -119.383333333333 0.0 -#> 4 34.0 -119.366666666667 0.0 -#> 5 34.0 -119.383333333333 0.16 -#> 6 34.0 -119.416666666667 0.03 -#> 7 34.0166666666667 -119.35 0.0 -#> 8 34.0 -119.35 0.008333334 -#> 9 33.0 -118.533333333333 NaN -#> 10 32.95 -118.533333333333 NaN -#> 11 32.8 -118.4 NaN -#> .. ... ... ... -#> Variables not shown: Muricea_californica_Mean_Density (chr) -``` - -## An example workflow - -Search for data - - -```r -(out <- erddap_search(query='size')) -#> 6 results, showing first 20 -#> title -#> 11 NOAA Global Coral Bleaching Monitoring Products -#> 12 Coawst 4 use, Best Time Series [time][eta_rho][xi_rho] -#> 13 Coawst 4 use, Best Time Series [time][eta_u][xi_u] -#> 14 Coawst 4 use, Best Time Series [time][eta_v][xi_v] -#> 15 Coawst 4 use, Best Time Series [time][s_rho][eta_rho][xi_rho] -#> 16 Coawst 4 use, Best Time Series [time][Nbed][eta_rho][xi_rho] -#> dataset_id -#> 11 NOAA_DHW -#> 12 whoi_ed12_89ce_9592 -#> 13 whoi_61c3_0b5d_cd61 -#> 14 whoi_62d0_9d64_c8ff -#> 15 whoi_7dd7_db97_4bbe -#> 16 whoi_a4fb_2c9c_16a7 -``` - -Or, list datasets - - -```r -tdp <- erddap_datasets('table') -``` - -Using a datasetid, search for information on a datasetid - - -```r -id <- as.character(tdp$Dataset.ID[8]) -erddap_info(id)$variables -#> variable_name data_type actual_range -#> 1 cndc float -#> 2 cndc_adjusted float -#> 3 cndc_adjusted_error float -#> 4 cndc_adjusted_qc float -#> 5 cndc_qc float -#> 6 doxy float -#> 7 doxy_adjusted float -#> 8 doxy_adjusted_error float -#> 9 doxy_adjusted_qc float -#> 10 doxy_qc float -#> 11 id int -#> 12 latitude float -90.0, 90.0 -#> 13 longitude float 0.0, 360.0 -#> 14 pres float -#> 15 pres_adjusted float -#> 16 pres_adjusted_error float -#> 17 pres_adjusted_qc float -#> 18 pres_qc float -#> 19 psal float -#> 20 psal_adjusted float -#> 21 psal_adjusted_error float -#> 22 psal_adjusted_qc float -#> 23 psal_qc float -#> 24 temp float -#> 25 temp_adjusted float -#> 26 temp_adjusted_error float -#> 27 temp_adjusted_qc float -#> 28 temp_doxy float -#> 29 temp_doxy_adjusted float -#> 30 temp_doxy_adjusted_error float -#> 31 temp_doxy_adjusted_qc float -#> 32 temp_doxy_qc float -#> 33 temp_qc float -#> 34 time double 8.1048066E8, NaN -``` - -Get data from the dataset - - -```r -erddap_table(id, fields = c('latitude','longitude')) -#> apdrcArgoAll -#> Path: [/Users/sacmac/.rnoaa/erddap/7b238871e478bf43df2e1f703e6e85e5.csv] -#> Last updated: [2014-12-19 18:15:39] -#> File size: [0.07 MB] -#> Dimensions: [5000 X 2] -#> -#> latitude longitude -#> 2 49.868 215.335 -#> 3 50.023 215.47 -#> 4 50.115 215.676 -#> 5 50.156 215.676 -#> 6 50.132 215.601 -#> 7 50.1 215.544 -#> 8 50.158 215.582 -#> 9 50.278 215.585 -#> 10 50.417 215.702 -#> 11 50.548 215.779 -#> .. ... ... -``` - -## Time constraint - -Limit by time with date only - - -```r -erddap_table(id, fields = c('latitude','longitude','time'), 'time>=2001-07-14', 'time<=2001-09-14') -#> apdrcArgoAll -#> Path: [/Users/sacmac/.rnoaa/erddap/d449b321be463619aab879c8ca2e40e7.csv] -#> Last updated: [2014-12-19 18:22:51] -#> File size: [0.05 MB] -#> Dimensions: [1490 X 3] -#> -#> latitude longitude time -#> 2 75.005 0.583 2001-07-14T04:29:00Z -#> 3 73.819 1.418 2001-07-14T01:01:59Z -#> 4 -24.702 106.08 2001-07-14T00:33:23Z -#> 5 -12.953 108.299 2001-07-14T04:23:12Z -#> 6 4.943 164.673 2001-07-14T18:36:46Z -#> 7 -4.769 189.924 2001-07-14T21:49:35Z -#> 8 11.312 195.319 2001-07-14T06:15:47Z -#> 9 48.906 229.489 2001-07-14T14:50:00Z -#> 10 -10.93 235.776 2001-07-14T08:47:12Z -#> 11 11.672 264.219 2001-07-14T05:31:14Z -#> .. ... ... ... -``` - -## Use distinct parameter - - -```r -erddap_table('erdCalCOFIfshsiz', fields=c('longitude','latitude','fish_size','itis_tsn'), 'time>=2001-07-07','time<=2001-07-10', distinct=TRUE) -#> erdCalCOFIfshsiz -#> Path: [/Users/sacmac/.rnoaa/erddap/e05d5adb0fecd3bb2276c920e1bd2457.csv] -#> Last updated: [2014-12-19 18:16:09] -#> File size: [0.02 MB] -#> Dimensions: [518 X 4] -#> -#> longitude latitude fish_size itis_tsn -#> 2 -118.74333 32.873333 14.2 162584 -#> 3 -118.74333 32.873333 15.0 162221 -#> 4 -118.74333 32.873333 15.2 170085 -#> 5 -118.74333 32.873333 17.2 162221 -#> 6 -118.74333 32.873333 18.3 162221 -#> 7 -118.74333 32.873333 18.7 170085 -#> 8 -118.74333 32.873333 20.0 162664 -#> 9 -118.74333 32.873333 20.2 162664 -#> 10 -118.74333 32.873333 20.4 623745 -#> 11 -118.74333 32.873333 23.1 623745 -#> .. ... ... ... ... -``` - -## The units parameter - -In this example, values are the same, but sometimes they can be different given the units value passed - - -```r -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', units='udunits') -#> erdCinpKfmT -#> Path: [/Users/sacmac/.rnoaa/erddap/d1aaf6eca896d080b1c2251f7a8cec17.csv] -#> Last updated: [2014-12-19 18:16:21] -#> File size: [2.18 KB] -#> Dimensions: [48 X 4] -#> -#> longitude latitude time temperature -#> 2 -120.1 33.883335 2007-09-19T00:13:00Z 16.22 -#> 3 -120.1 33.883335 2007-09-19T01:13:00Z 16.38 -#> 4 -120.1 33.883335 2007-09-19T02:13:00Z 16.38 -#> 5 -120.1 33.883335 2007-09-19T03:13:00Z 16.38 -#> 6 -120.1 33.883335 2007-09-19T04:13:00Z 14.48 -#> 7 -120.1 33.883335 2007-09-19T05:13:00Z 13.86 -#> 8 -120.1 33.883335 2007-09-19T06:13:00Z 13.55 -#> 9 -120.1 33.883335 2007-09-19T07:13:00Z 13.24 -#> 10 -120.1 33.883335 2007-09-19T08:13:00Z 13.09 -#> 11 -120.1 33.883335 2007-09-19T09:13:00Z 12.78 -#> .. ... ... ... ... -``` - - -```r -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', units='ucum') -#> erdCinpKfmT -#> Path: [/Users/sacmac/.rnoaa/erddap/a53175d2b882b8054906b46d4efe8218.csv] -#> Last updated: [2014-12-19 18:16:34] -#> File size: [2.17 KB] -#> Dimensions: [48 X 4] -#> -#> longitude latitude time temperature -#> 2 -120.1 33.883335 2007-09-19T00:13:00Z 16.22 -#> 3 -120.1 33.883335 2007-09-19T01:13:00Z 16.38 -#> 4 -120.1 33.883335 2007-09-19T02:13:00Z 16.38 -#> 5 -120.1 33.883335 2007-09-19T03:13:00Z 16.38 -#> 6 -120.1 33.883335 2007-09-19T04:13:00Z 14.48 -#> 7 -120.1 33.883335 2007-09-19T05:13:00Z 13.86 -#> 8 -120.1 33.883335 2007-09-19T06:13:00Z 13.55 -#> 9 -120.1 33.883335 2007-09-19T07:13:00Z 13.24 -#> 10 -120.1 33.883335 2007-09-19T08:13:00Z 13.09 -#> 11 -120.1 33.883335 2007-09-19T09:13:00Z 12.78 -#> .. ... ... ... ... -``` - -## The orderby parameter - - -```r -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', orderby='temperature') -#> erdCinpKfmT -#> Path: [/Users/sacmac/.rnoaa/erddap/9339183f5e454127988667d44e8fb0ca.csv] -#> Last updated: [2014-12-19 18:16:44] -#> File size: [2.18 KB] -#> Dimensions: [48 X 4] -#> -#> longitude latitude time temperature -#> 2 -120.1 33.883335 2007-09-20T12:13:00Z 12.0 -#> 3 -120.1 33.883335 2007-09-20T13:13:00Z 12.0 -#> 4 -120.1 33.883335 2007-09-20T14:13:00Z 12.0 -#> 5 -120.1 33.883335 2007-09-20T11:13:00Z 12.16 -#> 6 -120.1 33.883335 2007-09-20T15:13:00Z 12.16 -#> 7 -120.1 33.883335 2007-09-20T10:13:00Z 12.31 -#> 8 -120.1 33.883335 2007-09-20T16:13:00Z 12.31 -#> 9 -120.1 33.883335 2007-09-20T17:13:00Z 12.62 -#> 10 -120.1 33.883335 2007-09-19T09:13:00Z 12.78 -#> 11 -120.1 33.883335 2007-09-20T09:13:00Z 12.78 -#> .. ... ... ... ... -``` - -## The orderbymax parameter - - -```r -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', orderbymax='temperature') -#> erdCinpKfmT -#> Path: [/Users/sacmac/.rnoaa/erddap/e6e6116b3870afc9c093f6dab56ce6ba.csv] -#> Last updated: [2014-12-19 18:16:53] -#> File size: [0.12 KB] -#> Dimensions: [1 X 4] -#> -#> longitude latitude time temperature -#> 2 -120.1 33.883335 2007-09-19T03:13:00Z 16.38 -``` - -## The orderbymin parameter - - -```r -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', orderbymin='temperature') -#> erdCinpKfmT -#> Path: [/Users/sacmac/.rnoaa/erddap/04557d97f6ecec410b114fc90da503d1.csv] -#> Last updated: [2014-12-19 18:17:12] -#> File size: [0.12 KB] -#> Dimensions: [1 X 4] -#> -#> longitude latitude time temperature -#> 2 -120.1 33.883335 2007-09-20T12:13:00Z 12.0 -``` - -## The orderbyminmax parameter - - -```r -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','temperature'), 'time>=2007-09-19', 'time<=2007-09-21', orderbyminmax='temperature') -#> erdCinpKfmT -#> Path: [/Users/sacmac/.rnoaa/erddap/4bd33e3b4de0d050b250fbccfd436ab7.csv] -#> Last updated: [2014-12-19 18:17:15] -#> File size: [0.16 KB] -#> Dimensions: [2 X 4] -#> -#> longitude latitude time temperature -#> 2 -120.1 33.883335 2007-09-20T12:13:00Z 12.0 -#> 3 -120.1 33.883335 2007-09-19T03:13:00Z 16.38 -``` - -## The orderbymin parameter with multiple values - - -```r -erddap_table('erdCinpKfmT', fields=c('longitude','latitude','time','depth','temperature'), 'time>=2007-06-10', 'time<=2007-09-21', orderbymax=c('depth','temperature')) -#> erdCinpKfmT -#> Path: [/Users/sacmac/.rnoaa/erddap/e84ec03c5003845e4df2208ae39a975a.csv] -#> Last updated: [2014-12-19 18:17:24] -#> File size: [0.61 KB] -#> Dimensions: [11 X 5] -#> -#> longitude latitude time depth temperature -#> 2 -119.53333 34.033333 2007-08-07T02:40:00Z 5 20.54 -#> 3 -119.36667 34.0 2007-07-05T03:42:00Z 6 19.72 -#> 4 -119.35 34.0 2007-08-05T18:32:00Z 8 21.23 -#> 5 -119.51667 34.033333 2007-08-06T04:02:00Z 9 20.47 -#> 6 -120.13333 33.9 2007-08-04T22:34:00Z 10 19.35 -#> 7 -119.38333 34.0 2007-08-02T15:38:00Z 11 20.86 -#> 8 -120.183334 33.916668 2007-08-04T23:50:00Z 12 19.92 -#> 9 -119.6 34.033333 2007-08-08T02:47:00Z 13 20.43 -#> 10 -119.816666 33.933334 2007-07-17T02:21:00Z 15 18.47 -#> 11 -119.416664 34.0 2007-07-10T23:25:00Z 16 19.14 -#> .. ... ... ... ... ... -``` - -## Spatial delimitation - - -```r -erddap_table('erdCalCOFIfshsiz', fields = c('latitude','longitude','scientific_name'), 'latitude>=34.8', 'latitude<=35', 'longitude>=-125', 'longitude<=-124') -#> erdCalCOFIfshsiz -#> Path: [/Users/sacmac/.rnoaa/erddap/8137b5814735d58e2d939b33a975c1a9.csv] -#> Last updated: [2014-12-19 15:48:00] -#> File size: [2.2 KB] -#> Dimensions: [56 X 3] -#> -#> latitude longitude scientific_name -#> 2 34.881668 -124.48 Cyclothone atraria -#> 3 34.881668 -124.48 Lipolagus ochotensis -#> 4 34.881668 -124.48 Bathylagoides wesethi -#> 5 34.881668 -124.48 Cyclothone acclinidens -#> 6 34.881668 -124.48 Cyclothone acclinidens -#> 7 34.881668 -124.48 Cyclothone signata -#> 8 34.881668 -124.48 Cyclothone signata -#> 9 34.881668 -124.48 Cyclothone signata -#> 10 34.881668 -124.48 Cyclothone signata -#> 11 34.881668 -124.48 Cyclothone signata -#> .. ... ... ... -``` - -## Integrate with taxize - - -```r -out <- erddap_table('erdCalCOFIfshsiz', fields = c('latitude','longitude','scientific_name','itis_tsn')) -tsns <- unique(out$itis_tsn[1:100]) -library("taxize") -classif <- classification(tsns, db = "itis") -head(rbind(classif)); tail(rbind(classif)) -#> name rank id query db -#> 1 Animalia Kingdom 202423 172887 itis -#> 2 Bilateria Subkingdom 914154 172887 itis -#> 3 Deuterostomia Infrakingdom 914156 172887 itis -#> 4 Chordata Phylum 158852 172887 itis -#> 5 Vertebrata Subphylum 331030 172887 itis -#> 6 Gnathostomata Infraphylum 914179 172887 itis -#> name rank id query db -#> 161 Stomiiformes Order 553138 162167 itis -#> 162 Gonostomatoidei Suborder 553151 162167 itis -#> 163 Gonostomatidae Family 162163 162167 itis -#> 164 Cyclothone Genus 162164 162167 itis -#> 165 Cyclothone pallida Species 162167 162167 itis -#> 166 Bathylagus wesethi Species 162092 162092 itis -```