Eliot's bug

[donenrique24]

Eliot McIntire reported the following bug:

library(BioSIM)
l <- structure(list(
    Name = c("ID1", "ID2", "ID3", "ID4", "ID5", "ID6"), 
    X = c(-116.623960, -116.459132, -116.294005, 
          -116.128578, -115.962854, -115.796835), 
    Y = c(58.2332800, 
          58.2638898, 58.2942755, 58.3244365, 58.3543720, 
          58.3840815), 
    elev = c(326, 315, 301, 287, 275, 267)), row.names = c(NA, 6L), class = "data.frame")
generateWeather(fromYr = 2020, toYr = 2020,
                l$Name,
                latDeg = l$Y, longDeg = l$X,
                elevM = l$elev,
                modelNames = "MPB_SLR",
                rcp = "RCP85", climModel = "GCM4")

#Starting local Java server...
#If you are using BioSIM Web API for a scientific publication, please cite it. Type citation("BioSIM") in #your R console to obtain the full citation.
#Error in .checkForExceptionInCallback(callback) : 
#  java.lang.NoSuchFieldException: size
#java.lang.Class.getField(Unknown Source)
#j4r.lang.codetranslator.REnvironment.processField(REnvironment.java:384)
#j4r.lang.codetranslator.REnvironment.processCode(REnvironment.java:234)
#j4r.net.server.JavaGatewayServer$JavaGatewayClientThread.processRequest(JavaGatewayServer.java:177)
#j4r.net.server.JavaGatewayServer$JavaGatewayClientThread.run(JavaGatewayServer.java:116)
#java.lang.Thread.run(Unknown Source)

[donenrique24]

It seems the model MPB_SLR requires the MTS from the current and previous years in order to provide the prediction for the current year. Consequently, setting fromYr = 2020 and toYear = 2020 fails. To obtain the prediction for year 2020, the fromYr argument should be set to 2019. The model help is not explicit on this. It should be improved.

[eliotmcintire]

Thank you!

It looks like these models work if there are at least 2 years, but fail with 1 year. Importantly, when supplying more than 1 year, some of these will only return the final year. i.e., if 2010 to 2020 is supplied, it will only return data from 2020. (See @donenrique24 next comment)

 [1] "BudBurst"                                            "Climate_Mosture_Index_Annual"                       
 [3] "EmeraldAshBorerColdHardiness_Annual"                 "Gypsy_Moth_Seasonality"                             
 [5] "HemlockWoollyAdelgid_Annual"                         "HemlockWoollyAdelgid_Daily"                         
 [7] "MPB_Cold_Tolerance_Annual"                           "MPB_Cold_Tolerance_Daily"                           
 [9] "MPB_SLR"                                             "PlantHardinessCanada"                               
[11] "PlantHardinessUSA"                                   "Spruce_Budworm_Biology_Annual"                      
[13] "SpruceBeetle"                                        "Standardised_Precipitation_Evapotranspiration_Index"**

[donenrique24]

You are right with MPB_SLR. However, I just checked with "Climate_Mosture_Index_Annual" because I have been using it recently. When I supply 2015 and 2021 as initial and final years, I get the CMI for all those years except 2015. Same thing for "Gypsy_Moth_Seasonality".

I'll check the others when I am back to the office.