| geomerge-package {geomerge} | R Documentation |
geomerge: Geospatial Data Integration
Description
geomerge is a framework for geospatial data integration that merges raster, spatial polygon, and (dynamic) spatial points data into a spatial (panel) data frame at any geographical resolution.
Details
The geomerge function conducts a series of spatial joins for Geographic Information Systems (GIS) data. It integrates three of R's most commonly used GIS data classes - polygons, points and rasters. With flexible options for assignment rules and including the calculation of spatial and temporal lags, geomerge returns a time series SpatialPolygonsDataFrame that users may import into any predictive statistical analysis.
Note
The spatial resolution of the input datasets and scope of the area covered by the integration routine will influence the runtime of geomerge. Depending on the inputs, integration may therefore require some time.
Author(s)
Karsten Donnay and Andrew M. Linke
References
Andrew M. Linke, Karsten Donnay. (2017). "Scale Variability Misclassification: The Impact of Spatial Resolution on Effect Estimates in the Geographic Analysis of Foreign Aid and Conflict." Paper presented at the International Studies Association Annual Meeting, February 22-25 2017, Baltimore.
See Also
geomerge, geomerge.merge,geomerge.neighbor, geomerge.assign,generateGrid