Content

Geospatial Data Handling in R

Lesson competencies

Importing vector-based geospatial data such as shapefile, kml, etc into R using appropriate sf function(s).
Converting a simple feature data frame into spatial objection data frame of sp.
Importing raster-based geospatial data such as jpg into R using apporpriate raster function(s).
Performing georeferencing and spatial transformation using sf functions
Performing vector-based geoprocessing function(s) using sf.
Performing raster-based map algebra and cartographic analysis using functions fro mraster package.

Read Chapter 2, 3, 8, 9, 10 of Gimond, M. (2018) Intro to GIS and Spatial Analysis [1]
Complete the entire course of Spatial Analysis in R with sf and raster of Datacamp.
Complete Lesson 2: Point and polygon data, sub-topics on Introduction to sp objects, sp and S4, and More sp classes and methods of Datacamp course on Working with Geospatial Data in R.

Pebesma, Edzer. (2018) “Simple Features for R: Standardized Support for Spatial Vector Data.” The R Journal, Vol. 10/1, 439:446. [2]

Pebesma, Z. (2018) sf: Simple Features for R [3]

Pebesma, Edzer, and Roger Bivand. 2018. sp: Classes and Methods for Spatial Data. [4]

Bivand, Roger, Tim Keitt, and Barry Rowlingson. 2018. rgdal: Bindings for the ’Geospatial’ Data Abstraction Library. [5]

Bivand, Roger, and Colin Rundel. 2018. rgeos: Interface to Geometry Engine - Open Source (’Geos’). [6]

Hijmans, R.J. (2018) raster: Geographic Data Analysis and Modeling [7]