Difference between revisions of "Lesson02"
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* Georeferencing | * Georeferencing | ||
* Using R as a GIS | * Using R as a GIS | ||
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| + | =Lesson competencies= | ||
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| + | * 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. | ||
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Bivand, Roger, and Colin Rundel. 2018. '''rgeos: Interface to Geometry Engine - Open Source (’Geos’)'''. [https://CRAN.R-project.org/package=rgeos] | Bivand, Roger, and Colin Rundel. 2018. '''rgeos: Interface to Geometry Engine - Open Source (’Geos’)'''. [https://CRAN.R-project.org/package=rgeos] | ||
| − | 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] |
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Revision as of 16:36, 8 January 2019
IS415 GeoSpatial Analytics and Applications
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Geospatial Data Handling in R
Content
- 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]
