9 skills found
sustentarea / Logoclim⛅ WorldClim in NetLogo
Hydroenvironment / CMIP6 WORLDCLIM HANDLINGCMIP6 climate data extraction and treatment by multi-polygon shapefile using ESGF NetCDF and WORLDCLIM datasets
eightysteele / Spatial Data LibraryThe primary goal is to provide efficient API access to WorldClim and World Ocean Atlas (WOA) data for look-ups and visualization.
loicduffar / WorldClim Climate Change Data AnalysisHistorical & future climatologies (1970-2100) - Time series extraction and maps plotting
Jianghao / WorldclimVisualize world climate data on worldclim.org
Chilipp / Latlon UtilsRetrieve WorldClim climate and other information for lat-lon grid cells
nicholas-kotlinski / Worldclim TutorialA short tutorial for working with worldclim data in R.
kapitzas / WorldClimTilesFunctions to quickly download and merge worldclim data at 0.5 arcmin resolution
shobhana1306 / Ecological Niche ModellingEcological niche modeling is one of the key research area in the field of ecology and conservation biology. The goal of this project is to identify the key environmental covariates/predictors that would be suitable for the spread of invasive species. The invasive plant Mikania micrantha was chosen as the test-bed species and the prediction of occurrence location was obtained for the Indian subcontinent. The occurrence records(longitude/latitude) were obtained from GBIF (http://www.gbif.org/). Nineteen climatic variables were obtained from WorldClim(http://www.worldclim.org/). Background points were used to supplement the absence records to create the binary response variable. The environmental covariates were chosen using logistic regression. Due to presence of multicollinearity, regularization techniques like ridge and lasso regression were utilized. Out of the 19 variables, 7 were selected using regularized logistic regression through lasso.
