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Climate Distance Mapper R Script

Dates

Publication Date
Start Date
1980-01-01
End Date
2070-12-31

Citation

Shryock, D.F, DeFalco, L.A., and Esque, T.C., 2018, Principal components of climate variation in the Desert Southwest for the time periods 1980-2010, 2040-2070 (RCP8.5) and (RCP4.5): U.S. Geological Survey data release, https://doi.org/10.5066/P9FCRGHF.

Summary

Climate Distance Mapper is an interactive web mapping application designed to facilitate informed seed sourcing decisions and to aid in directing regional seed collections. Implemented as a shiny web application (Chang et al. 2017), Climate Distance Mapper is hosted on the web at: https://usgs-werc-shinytools.shinyapps.io/Climate_Distance_Mapper/. The application is designed to guide restoration seed sourcing in the desert southwest by allowing users to interactively match seed sources with restoration sites climatic differences – in the form of multivariate climate distance values – between restoration sites and the surrounding landscape. Climatic distances are based on a combination of variables likely to influence patterns of local [...]

Contacts

Attached Files

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Climate_Distance_Mapper.R 19.48 KB
Climate Distance Mapper.jpg thumbnail 421.25 KB

Purpose

This script provides R functions necessary to generate the online interactive mapping application Climate Distance Mapper. The functions rely on the R package “shiny” v. 1.0.5 (Chang et al. 2017; https://cran.r-project.org/package=shiny) for generating the user interface, the R package “leaflet” v. 1.1.0 (Cheng et al. 2017; https://cran.r-project.org/package=leaflet) for generating an interactive map display, and the R package “raster” v. 2.6-7 (Hijmans 2017; https://cran.r-project.org/package=raster) for handling spatial data. All functions and packages were compiled under R version 3.4.4 (R Core Team 2018). Climate Distance Mapper uses principal components of climate variables to map multivariate climate distances from user-specified input coordinates and displays the results in an interactive online map. The R script can be executed from any R console (R version 3.4.4) or from the RStudio GUI (version 1.1.442; https://www.rstudio.com/).

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