Software
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SAS code for analyzing water temperature data SAS code for analyzing water temperature data
This code may be used to fit linear models with multivariate random effects and heterogeneous measurement-level residual variances. The code as written may be used to estimate associations between water temperature ('temp') and continuous year ('yearctr'), study reach (or field station; 'fs'), log-transformed mean July water discharge (in 1000 cms units; 'logmeanJulycms1000'), number of...
Symbol Tweaker Tool Symbol Tweaker Tool
Symbol Tweaker is an ArcGIS ArcMap add-in tool developed at the UMESC. When using this tool, a user can: 1) Adjust RGB or HSV parameters of selected symbols from feature and raster data layers 2) Create unique color ramps for feature and raster data layers 3) Copy fore, back, and outline colors interchangeably 4) Create equal interval classifications beyond the limitations imposed by...
Composite Raster and Divergence Tool Composite Raster and Divergence Tool
ArcGIS ArcMap add-in, when using this tool, a user can: 1) create a date prioritized composite raster from a collection of raster layers 2) create a lookup raster for the composite raster that identifies which input layers were used to create the composite raster 3) create a divergence raster where pixel values represent the divergence from a user specified value
Composite Raster and Divergence Tool Composite Raster and Divergence Tool
The Composite Raster and Divergence Tool is an ArcGIS ArcMap add-in
carpIPM R code carpIPM R code
Fish grow continuously. Integral projection models (IPM) model size continuously. We developed an IPM for fish. We specifically developed the model for grass carp, however, the model could also be applied to species with similar life-histories such as other carp species. We included YY-males within the model because releasing YY-males has been proposed a control method for the species...
Random Landscape Tool 10.5 Random Landscape Tool 10.5
Random Landscape Tool uses a raster data source and a table of classifications to create a random landscape. The classification table allows the user to weight the probability of occurrence to certain classes and to spatially restrict the distribution of classes to certain areas (zones).