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Merge branch 'development' of ssh://github.com/PredictiveEcology/Biom…
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…ass_core into development
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achubaty committed May 17, 2024
2 parents 1005b40 + 4fb5969 commit c3996de
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16 changes: 3 additions & 13 deletions Biomass_core.R
Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@ defineModule(sim, list(
person("Jean", "Marchal", email = "[email protected]", role = "ctb")
),
childModules = character(0),
version = list(Biomass_core = numeric_version("1.3.10")),
version = list(Biomass_core = numeric_version("1.4.0")),
timeframe = as.POSIXlt(c(NA, NA)),
timeunit = "year",
citation = list("citation.bib"),
Expand All @@ -25,7 +25,7 @@ defineModule(sim, list(
"R.utils", "scales", "terra", "tidyr",
# "curl", "httr", ## called directly by this module, but pulled in by LandR (Sep 6th 2022).
## Excluded because loading is not necessary (just installation)
"PredictiveEcology/LandR@development (>= 1.1.0.9006)",
"PredictiveEcology/LandR@development (>= 1.1.1)",
"PredictiveEcology/pemisc@development",
"PredictiveEcology/reproducible@development",
"PredictiveEcology/SpaDES.core@development (>= 2.0.2.9004)",
Expand Down Expand Up @@ -576,17 +576,8 @@ Init <- function(sim, verbose = getOption("LandR.verbose", TRUE)) {
if (is.null(sim$species))
stop("'species' object must be provided")
species <- as.data.table(sim$species) # The former setDT actually changed the vector
LandR::assertSpeciesTable(species)
set(species, NULL, "speciesCode", factor(species$species, levels = unique(species$species))) # supply levels for speed
LandR::assertColumns(species,
c(species = "character", Area = "factor", longevity = "integer",
sexualmature = "integer", shadetolerance = "numeric",
firetolerance = "integer", seeddistance_eff = "integer",
seeddistance_max = "integer", resproutprob = "numeric",
resproutage_min = "integer", resproutage_max = "integer",
postfireregen = "factor", leaflongevity = "integer",
wooddecayrate = "numeric", mortalityshape = "integer",
growthcurve = "numeric", leafLignin = "numeric",
hardsoft = "factor", speciesCode = "factor"))
sim$species <- setkey(species, speciesCode)

## prepare dummy versions if not supplied --------------------------
Expand Down Expand Up @@ -1302,7 +1293,6 @@ MortalityAndGrowth <- compiler::cmpfun(function(sim) {
})

Dispersal <- function(sim) {

treedFirePixelTableCurYr <- sim$treedFirePixelTableSinceLastDisp[burnTime == time(sim)]
pixelsFromCurYrBurn <- treedFirePixelTableCurYr$pixelIndex
tempActivePixel <- sim$activePixelIndex[!(sim$activePixelIndex %in% pixelsFromCurYrBurn)]
Expand Down
6 changes: 3 additions & 3 deletions Biomass_core.html
Original file line number Diff line number Diff line change
Expand Up @@ -2995,7 +2995,7 @@


<h1 class="title toc-ignore">LandR <em>Biomass_core</em> Manual</h1>
<h4 class="date">Last updated: 2024-04-19</h4>
<h4 class="date">Last updated: 2024-05-10</h4>

</div>

Expand All @@ -3011,7 +3011,7 @@ <h4 class="date">Last updated: 2024-04-19</h4>



<p><a href="https://github.com/PredictiveEcology/Biomass_core7c84846f0f8b9ebe7f465b2245c57f1fc74a2ef6"><img src="data:image/png;base64,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" alt="module-version-Badge" /></a></p>
<p><a href="https://github.com/PredictiveEcology/Biomass_core999c3035a5b13f3710677feab57684901eddeea5"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAIgAAAAUCAYAAABWHnVqAAAABmJLR0QA/wD/AP+gvaeTAAAJGUlEQVRoge2Za2xUZRrHf++ZM9OZKcyNmXZK1YpNvWy2NMol22iKKVkSblJDInVrLFYEjZfQJRi32gJftqLbbRPDgqDZDeLa7C7qyod1syZsELxldQVKC2ihCNSZ0plOp5eZ6fScdz/UzvYy0wLWEBr+yckkzzzv8/7f/3nmeZ4zRyxdujQtIyPjZSHEw1LKTG7gqtH99MfXmsKUQIJPQmO888wLakZGxstSyo1SymvN67rHNNLQK2Cj0X0bqq7rD19rNtMF0yhBhiDlr9QbbWXqMO0SBDLUaXioa4bpqOVVJ4jZbCYajU4xnesbP0WCqEJFkxqSqYttVEy4TJkEB/zE9YGJ95/oULt370ZKiZQSg8HA119/zZ49e1BVlTfeeIMNGzbQ09MzZcSvd0x1gsxQ7fwu/31eOf0MZ/pOTOqfm/5zXsnfz29PbeDLrn8n9bnHsYjKvN8TiPmYleal/ptKvgodShlzwgTRdZ2nnnqK9vZ20tLS2LVrF3fffTeffPIJRUVFZGVloSgKAEajEbvdTiAQSCrUjBkzUBSFcDgMgMPhIBaLEYlEEj5CCGw2G0IIuru7R8WxWq0YDIZxCZnKPhZCCOx2O+FwGF3XL4vzWBgMBlwuF8FgEE3Txn0/lQnyy8yHWJW1Dm/aLQz265PGdqdlsTG3jkthP/Ge5P4CwbO3befFDzbwX/9h5nmLqF7aQMVXhSnjTtpinE4nmqahKApSStrb2xFCcOjQIcrKytA0jSVLlrBq1So6OjpwOBw0NDRw7tw5ABobGzly5Ai5ubk4HA7279/PggULmDlzJg6Hg7q6OpqamgCor68nFouhaRpWq5VXX32VS5cuUVlZidPpREqJxWJh8+bNCCGS2uPx+LgzFBYWUlZWRigUwu128+abb+J0OifkvG/fPpYtW8b58+epra3lvvvuY/Xq1fh8PmbPns2ePXsSvIcxVss1Nz/LbMut1J/eBIDD6Ob1eQd59IuFxPQIE+GDY3+m8cO3+EvZp0jkhAliMaRTdcfrvPzPzTxZ+GKi6o/FbMsczMLKafNnOOeaONX9KVZlBlnmHNojbUljT5ogmzZtQtM0PB4Pra2t+Hy+xOZSSjIzMykpKWHt2rX09fVx7733sn79eqqqqhIxGhsbaWpqYv78+dTU1PDcc8/R1tbGypUrKS4u5vjx4wBUVFQk5prS0lIWL15MS0sLiqJQUVEBwE033cTg4CDz589Pah97Ho/HQ3l5OU888QSBQACr1crChQt57LHHJuTc29tLeXk5uq4zZ84cSkpKWLduHbFYjJycHLZs2cLmzZtH7TV27/e+eot9y4+wU6khovVSPGs1Hza9SyTej1AmlJ00j0KaRwFByhsOoAgDL9zxB/Z9tpNW85cIAcjk1cwm3YQiQYw2gZQS1QahSBd2mcFFeTZp/EkTpL6+Hr/fj8lkYsWKFWzbto3nn38+IUhubi7Hjh3DZDJhNps5evQoOTk5mEwmYrEYABcuXMDj8dDb20tfXx/d3d14PB66urpIT09PHGbx4sXcf//9uN1urFYrzc3NfPvtt6xfv54tW7Zw8uRJPv/8c6LRaEr7WOTl5XH06FF0XcftdqPrOjabbVLOBw4cwGKxIIQgLy8Po9FIdXU1Qgh0XSc7OzuhwTDGatlvC/DFuY8pmvUAH/rfZklmKS+eeByckivqRiluOMBDNz/Nue/bODX4H7zu2RgNJmwmJ2YtnYjWOzpMnKGBd0QsIUCPp07ASRNkYGCAeDzOwMAA77zzDmvWrMFqtQ5tKCWDg4MIIRBiKCvNZjMwNL8Mx1ZVFSllws9gMIwTtqCggNLSUqqrqzlz5gzFxcUUFRXh8/l45JFHWLRoEQUFBZSVlVFZWZnSHgqFRvEf5jfcIodv8GSch88IoGkara2tvPbaawlbLBbDYDCMvgFjtBQq/P2bP/HkL6o4FzlFV0+QdtNpVCkm1HwsJmoxvcF+CrJ/RnX2DgBuTb+dUvMziAuSg5feHeUbiPpxWFyjYtnNTgJRP1JJUaGGy1eqa1hcVVVZvnw558+fTwyaUkpaWlrIz89PVIKFCxfS2tpKNBod1YqSXSOFtdlsnD17lmAwiMfj4a677gIgJycHp9PJRx99RG1tLYFAAJfLldI+do/m5mbmzp2bmFVMJhNdXV1XxLmpqYk777wTp9NJNBolGo2Sm5s7oW7D17GBj7GpLh7PeYn9J/6IwTIUe5HnARZ5Hph0PYy3jVzbeOoPbPjbCta9PXSd8h+n4WAN/2j+6zjfi9FW4lqcfHshUkry7YVE4hHaY2dS7j9pBdm+fTu6rmMwGGhtbaWqqgohRELEjo4O9u7dS11dHR0dHdjtdmpqahLfX+7n4cOHKSkpYceOHaiqysWLFwmHw7hcLrZu3Zpoc01NTZw8eZJ58+YltauqOvpXEwiwc+dOamtr6ezsZNasWezateuyOQMEg0EaGhrYunUroVAIl8tFW1sbtbW1o/ZKpqVqh/eO7eXRBc9yJHwAxTXks2DmEgAO+t9PqvvK7HJWZK8ly3ILNffsoa2/hW3HK8atNXsVzN7/DzRCGZpfTLGh6jjSV5ih9l+/pmbZbnyx7/CYZvPSB08i3KlbnnjwwQdTZojf7x9y+qEUG41GbDYbqqri8/nwer0A9Pf3MzAwgNvtxufzYbfbMRqNAKP8NE0jEAiQkZEBDJXpvr4+XC4Xuq4TCoXwer0EAgHi8TiKomCxWOjp6UnMMIODg9jtdmKxWFJ7MkQiEfr6+vB4PHR2dpKeno6u65fFeRjRaJRwOIzH46GnpwdN03A6naN8Ur3NjVzUiHyv4Zxn4offFj3fDAIwM09Nuibq14n6NbSIRDEJ1HTBzNvVSdd2n4hjyTZgcihJfQeCOvHvjGTOyuLCpe9IzwWjPfXELEpKSqbk4V1Kmag0PwbDj9TDVepq7alij+R3NZxHzi9jcb287pc66AMSQ5qASWSb0ncxw4Pgj40B48v1ldovl9+Vch7ZXsdiKrX8SSFASRsafif7B1+VUvoA78RuN3A5uG4S5HIhxPcq0Cil3HituUwHTLcEEYhGNR6Pv/DD/xSl3KgkPwrTKEF8CNGYrgV/8z+Y3Ie15R7QYAAAAABJRU5ErkJggg==" alt="module-version-Badge" /></a></p>
<p><a href="https://github.com/PredictiveEcology/Biomass_core/issues"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAI4AAAAUCAYAAABbAAUtAAAABmJLR0QA/wD/AP+gvaeTAAAJ/0lEQVRoge2ae3BU1R3HP/e5SXZDdpPsZsMj4WEEUaEWykOCiAodrO2EMggRx8YxtaCMjz8EneoYpY02lqkjj44FKb46ASOpDJX6oHQGxTYqCOXRmQyQkJAESJZkd7PZR/ae/hGy5LF3ExTFot+Z+8f93XO+v+/vnN/9nXP2rjRv3jyLy+V6XpKkQiFEFlcg2h7cc7klXBEQ0CSgPNJ8/HHV5XI9L4R4RAhxuXV9bbiSY/uG4ZbgES1zNKphGIWXW83Xje8T5xJDiLvUK3V56onvE+eSw6V+Fwb1uxDjNw1ZCMFAlyzLOBwOkpKSBmw72GvGjBlfuh9wyXR8my+LnHLZNZhdCSuOrussXryYG2+8EY/HQ0pKVyA7duxg165dCTNyxYoVrF69mmg0Gvf5smXL2LPn4k87y5YtY+/evRiGMeg+8WIsn3oQCRmA9qiPt+rXsbPpjYvW81VQMv5VfnP0PjpFZ79nVnUIW6ceprBqIt6I5xvVNRgkTJylS5cihKCwsJBQKIRhGIwcOZKbb76512QoikJ6ejoejyeWKBMmTAASLxNCCFJSUlBVFa/X2+tZPM6e/Xry2mw2DMMgEAiY+ukLo1Nw75u3Udd6gjGucWwufJ8vWj+ioePEBQ2SSqYlm5ZQY7/JTVXtGBi0d/bWrck6ds1Jc6gBQeIlcpJ9Fhhy3Ha+jlYm/y6TzCkWZE0CwKqmokhav0Qys5shUVyD5TJNnOzsbCZOnMiSJUuw2WykpqYC4PV62bJlS+w+Pz+fBQsW0NTUxNChQ9mwYQOTJ09GlmXKysoQQvDMM8/Q1tbWz8cDDzxAXl4eaWlpVFZWsn37dlPOQ4cOxfp1J055eTlVVVXk5ORgt9upqKhgx44d/fzEjVHAkHEamYaFlsBxzvgaySCbU+I4ALNdP2dJzqM0tNcw3DaGl6pX8EXrR+yceYqPm99llHU8Dt3JmydX83b9ywDckf0L7hyxnNMddTgsTkqP/orj7UcA2DnzFBtPrKJgaDE1gf9yquM4sqSwftIHCAQrDi7gXPjsBX0KfLaymTs+ykWRVH59zZ/I0N1dL5tqY9m+WwCpn/3RA3fw6o+qmL83D4BkxcqWaYf42cejEsaly0lxfYSN0MUlzvDhw6mpqUFRlJhNlmV0XUfTNAzDwOl0UlBQQHFxMaFQiNzcXJ5++mnuv/9+5s6dS1FREeFwmMzMTGRZ7uejoqKCgwcPkpOTw7p163jnnXdMOR977LF+iQOwefNmjh49itvtZtOmTezevRu/3z9w4gDJshW74mT66LnIssLB01UIm8CVNJzFQx/i7j/fSlD2M8p6DaUFG1i6fzYAG/es5nDtAYZaR/KXe//Je43lpGp2Fg9/mDs3zaDdaOWm3J/w8Mzf89CBeTF/fk8Hi3bmE9XDdGohfnpPEYtemUk4GsJ+nRarLL20G4JJGbNRg0kUvjELSYKcIVcRGdnJtMy5/ezRkVGEcSFmo/PCviRRXJPs8X0IKf7YmSZOZ2cniqIgSRJCCObMmcPChQtRVZXa2lpKSkrIy8tD0zSeeuopJEnCMAyGDRtGWloaABkZGXR2dppOXm1tLU6nE7/fj81mQ5IkU86eHD0Tp7GxEafTSSgUor6+HrfbTXV19aAS54nr16MpOsmyjcJXZxLNCyEJGJ88BZ1knl24FgkwooIR1jF0rygnLYdx3KDhD9ZT5znBMP0qsi0j2X/yXyhXt5Omanx27n1KUzeiS0mEjA4AtlVvJGmsgiKDRe56Ie3Xa0QwTHUKIag+dYS8q67lt4vWc7itio/r3yMqIqb2XmPFhTFLFFcirngwTZyamhpyc3Ox2Wz4fD62bdvGa6+9Rn5+PosWLUIIQTQa5dixY6xZsybWLxQKxapU371IX2iahhCiVzUaiLMvr6qqCCFQFAVN02hvb+/n00zDw28V0uStZ/2CSu6du5yNNc8iBEQ7BNVnD/PC3sdjbUtbV2Jc1zXBSkoXp2wBXdXxt/uIGgaSFVAEQoBu79JrGBe0JrlliE3keW0kHiMhBA3GMRZsnMbsCfO4YcRU7pv5JL/89CYagv3tD376Y2RJjps4ieIy8+EJn4mry/Q43tjYyOeff87y5cuxWq2kpKTgcrli1UQIwaFDhxg3bhwOh4NgMEgwGGTMmDEIIfD7/djtdtPjXM8E6HmfiDNexZHlrkEaO3YsycnJ1NXVDeo4CWAbrWC9XrDi7/eQn3E7t2ffjRCCA2c/Ybz7Buy5KbQ7T9PuPM3oScNi/RS6kvXaIVNI1qzUBqr5T3MVP3BPx6amIYRgRuY8qs8cJtgZiBuvEAJf0ItDdw04RqPSryb1Wol3G16n5IMHafaeIUMZGteeKqUjhCDLMgIhBOOG/DDGkyguMx8XfRxXFIXS0lKKiopYu3YtLS0tsbd+69atCCHweDy8+OKLlJSU0NraSnp6OjU1NTz33HNUVlZSWlqK1+tl1apVnDt3Lu7b1Pc+EWfPdt19y8rKUBQFi8VCSUmJabmPhy67IJrTxkMVi3nlrndp6jjJv4O7KftwJS/MqcATOUOm7uZY21GePHwXAOsnf4AsySTJVp74azGGK0xT6ASv7F3Ny/m7aQqexKFmsXJ7EbjFherSR8fW/Rt5adLfaIu0sPKLO/GET8fVmMlwyqa/TWOwFoucxMHaKo6e2c+UrFv625v38XrVGv445UN8na0cadkX4zkr15nGZeZDtsYfO2n+/PmmdVIIgc/nIxgMkpWVRSAQwO/3xyoQQDAYxOv14nQ68fl8RKNRHA4HPp8vtkfSdb3XUgPQ1NSE2+2Oe2/G2bfdtm3bmDVrFna7HY/HQ1paGrqu94sj3tdxz2dh0q7TUJK6NqTRgKDtSITUPBUtTSbUYtBeG8Vpz8Lf7iOidjDkGpVdt55l8h8c2JMz8fiaseUpaKldHB1NUaKndVwOJw0t9diuVlCtXc+aPwmTOb23tkBdFK01FUkXyKMCyHrvzXHzJ2Eyp+mE2wwCxwSuDBf+Dh9hPYBttGpqD9RHSfFlECFEUPMR9hhkTO3ybRZXuDU+F/336wBIBQUFg/o9PhqNIklS3NMRgGEYSJKEJEm9bIBpn4EQj7MnKisrmT9/PoZhJPTxVf5WYUQEkiIhnaf/x23N3PJhJkZExD8FCRBhgWwxGfG+7c//jCKpAzXsoUUZ2G5ERNfYmfD2jSuhjzgY9Leq7okxa989uT2fx7NdDAbqX1xcjBAidvIzw5f1D90TemG5uXvTrYgRAklNMBb6RfhUujUOQovWW0sie1/d/bhMnpv56AtVCNEEuBM3+3aioaEBTdMGbPdVEqcvauz7UMXgqskVC0lqVIFyIcQjl1vLl0H3UXwgXMrEUazff22XkMrVSCTy+PkJWMz/aeUZCN/1ib6EaEKSyq1RzxP/A5eUy037iAouAAAAAElFTkSuQmCC" alt="Issues-badge" /></a></p>
<div id="authors" class="section level4">
<h4>Authors:</h4>
Expand Down Expand Up @@ -4364,7 +4364,7 @@ <h3>List of input objects</h3>
data.table
</td>
<td style="text-align:left;">
<code>data.table</code> with cohort-level information on age and biomass, by pixelGroup and ecolocation (i.e., <code>ecoregionGroup</code>). If supplied, it must have the following columns: <code>pixelGroup</code> (integer), <code>ecoregionGroup</code> (factor), <code>speciesCode</code> (factor), <code>B</code> (integer in latex2b27a1ad385d16c73646cd918252c6d2), <code>age</code> (integer in years)
<code>data.table</code> with cohort-level information on age and biomass, by <code>pixelGroup</code> and ecolocation (i.e., <code>ecoregionGroup</code>). If supplied, it must have the following columns: <code>pixelGroup</code> (integer), <code>ecoregionGroup</code> (factor), <code>speciesCode</code> (factor), <code>B</code> (integer in latex2b27a1ad385d16c73646cd918252c6d2), <code>age</code> (integer in years)
</td>
<td style="text-align:left;">
NA
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