Geospatial Case Studies
Data Acquisition and Analysis / R Analytical Environment
R Programming Language scripts used to produce the United States County Boundary and Centroid Shape Files. Good examples of using R to process ESRI Shape Files.
Search for and download General Circulation Model (GCM) time series data in gridded Binary (GRIB) format. Import the data into the R programming environment. Aggregate the individual monthly time series to generate long-term monthly average time series. Display the resulting images in R, ArcMap GIS, and MATLAB.
Search for and download NOAA/NCEP Reanalysis relative humidity time series data in NetCDF format. Import the data into the R programming environment and to explore the data.
High-Level Language Programming
Implements a 2-dimensional raster grid program coded using Free Pascal and ANSI standard C Languages, MPICH2 Message Passing Interface (MPI) and Unix IPC/ Shared Memory.
MATLAB Analytical Environment
Search for and download General Circulation Model (GCM) simulation data sets in NetCDF format. Use MATLAB script to extract and explore the data set.
Use Map Layout tools to design a three-panel global study area map.
Use Digital Elevation Models (DEM) and ArcMap GIS to compute and analyze habitat elevation zones.
Data Import Utilities for Microsoft Excel-format Data Files
Import Excel spreadsheet data into an ArcMap Shape File.
Import Excel spreadsheet data into an SAS data set.
Geospatial Data Sets
Base 50-State polygon shapefile containing USA County outlines
Three ESRI-format shape files: US County boundaries,County boundaries with centroid lat/long and US Census Bureau FIPS codes, and US County centroids with FIPS Codes.