Difference between revisions of "Lesson02"
Jump to navigation
Jump to search
| Line 38: | Line 38: | ||
* Georeferencing | * Georeferencing | ||
* Using R as a GIS | * Using R as a GIS | ||
| − | + | ||
=Lesson competencies= | =Lesson competencies= | ||
| Line 69: | Line 69: | ||
Hijmans, R.J. (2018) '''raster: Geographic Data Analysis and Modeling''' [https://cran.r-project.org/web/packages/raster/index.html] | Hijmans, R.J. (2018) '''raster: Geographic Data Analysis and Modeling''' [https://cran.r-project.org/web/packages/raster/index.html] | ||
| + | |||
| + | </font> | ||
Revision as of 16:17, 10 January 2019
IS415 GeoSpatial Analytics and Applications
|
|
|
|
|
|
Geospatial Data Handling in R
Content
Geospatial Data Handling in R
- Properties of geographical data
- Classes for geospatial data in R
- Simple features data in R
- Georeferencing
- Using R as a GIS
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.
Must do
- 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.
R Packages for Spatial Data Handling
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]
