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--- geostatistics [2014/11/07 17:02]
glaroc [Introduction to geostatistics with R]
+++ geostatistics [2023/04/05 13:55] (current)
qcbs [Books]
@@ Line 1: / Line 1: @@
-{{ :logo_text.png?200 |}}
 ====== Introduction to geostatistics with R ======
+April 2023. Online. Instructor: Guillaume Larocque (glaroc@gmail.com).
-Guillaume Larocque, November 10 2014. McGill University
 ===== Presentation =====
-[[http://prezi.com/kiwomoagybzq/introduction-to-geostatistics-with-r/|Prezi presentation]]
+[[https://prezi.com/view/yjD0wcl7coF4wBJpeNTS/|Prezi presentation]]
-[[http://prezi.com/kiwomoagybzq/present/?auth_key=yc2niz2&follow=GuillaumeLarocque&kw=present-kiwomoagybzq&rc=ref-19631691|Simultaneous presentation]]
+===== R Code =====
+{{ ::qcbs_geostats_workshop_files_2023.zip |Click here to download the zip file containing the scripts and the datasets that will be used during the workshop.}}
+Please extract this zip archive to an easily accessible folder on your computer.
 ===== Ressources =====
 ==== Books ====
-  * [[http://link.springer.com/book/10.1007/978-0-387-78171-6/page/1|Applied spatial data analysis with R, Bivand, Pebesma et Gómez-Rubio.]] - Provides a good overview of spatial statistical tools in R. Contains a good chapter on geostatistics.
+  * [[https://www.routledge.com/Spatial-Data-Science-With-Applications-in-R/Pebesma-Bivand/p/book/9781138311183|Spatial Data Science - With applications in R.]] - Provides a good overview of spatial statistical tools in R. Contains a good chapter on geostatistics. The online version of the book can be found [[https://r-spatial.org/book/|here]]
-  * [[http://www.amazon.ca/Geostatistics-Natural-Resources-Evaluation-Goovaerts/dp/0195115384|Geostatistics for Natural Resources Evaluation, Pierre Goovaerts.]] - Very good book, which provices a more in-depth coverage of geostatistical theory.
+  * [[http://www.amazon.ca/Geostatistics-Natural-Resources-Evaluation-Goovaerts/dp/0195115384|Geostatistics for Natural Resources Evaluation, Pierre Goovaerts.]] - Very good book, which provides a more in-depth coverage of geostatistical theory.
   * [[http://www.lu.lv/materiali/biblioteka/es/pilnieteksti/vide/A%20Practical%20Guide%20to%20Geostatistical%20Mapping%20of%20Environmental%20Variables.pdf|A Practical Guide to Geostatistical Mapping of Environmental Variables (PDF)]]
-  * [[http://cg.ensmp.fr/bibliotheque/public/MATHERON_Ouvrage_00161.pdf|Georges Matheron - La théorie des variables régionalisées et ses applications (PDF).]] - Texte original décrivant les bases de la géostatistique.
+  * [[http://cg.ensmp.fr/bibliotheque/public/MATHERON_Ouvrage_00167.pdf|Georges Matheron - The theory of regionalized variables and its application (PDF).]] - Original text estbalishing the basic foundations of geostatistics.
   * {{:gisonr.pdf|Analyses spatiales sous R}} - Document préparé par Nicolas Casajus pour un cours offert à l'UQAR à l'hiver 2013.
 ==== Papers of interest ====
@@ Line 28: / Line 28: @@
 ==== R packages ====
-  * [[http://www.gstat.org|Gstat website.]]
   * [[http://cran.r-project.org/web/packages/gstat/|Gstat package]] - Gstat R package.
   * [[http://cran.r-project.org/web/packages/geoR/|geoR package geoR]] - Another package for geostatistics in R.
+  * [[https://geodacenter.github.io/rgeoda/|rgeoda]] - R package for spatial data analysis.
+  * [[https://github.com/r-spatial/qgisprocess|qgisprocess]] - Package that allows you to run QGIS scripts within R.
+  * [[https://cran.r-project.org/web/packages/gdalcubes/index.html|gdalcubes]] - R Package for working with spatial-temporal raster data in the form of cubes. Particularly useful to access STAC catalog data in combination with the [[https://cran.r-project.org/web/packages/rstac/index.html|rstac]] package.
 ==== Educational software ====
-[[http://www.ai-geostats.org/bin/view/AI_GEOSTATS/SWEZKriging|EZ-Kriging]] Small Windows software that facilitates understanding of kriging equations.
+{{::e_z_kriging.zip|EZ-Kriging}} Small Windows software that facilitates understanding of kriging equations.
-===== R Code =====
-{{::qcbs_geostats_workshop_files.zip|Click here to download the zip file containing the scripts and the datasets that will be used during the workshop.}}
+==== Courses ====
+[[https://www.teluq.ca/site/etudes/offre/cours/TELUQ/SCI%201031/|Visualisation et analyse de données spatiales avec R. ]]. Course offered at Teluq by Elise Filotas. The course material can be found [[https://sci1031.github.io/sci1031/|here.]]
-Please extract this zip archive to an easily accessible folder on your computer.
 ===== How to create a mask in QGIS =====
@@ Line 48: / Line 48: @@
 You can digitize the boundary of your study site from a Google Satellite layer by following the following steps:
   - Open QGIS.
-  - Activate the 'OpenLayers Plugin' in the list of Extensions
+  - Install and activate the QuickMapServices Plugin=
-  - Add a Google Satellite layer by using the OpenLayers extension (Web/OpenLayers Plugin).
+  - Add a Google Satellite layer by using the QuickMapServices extension (Web/QuickMapServices). You might need to enable additional providers in the Plugin settings
-  - Note that the CRS of the canvas is now 'Google Mercator' (WGS 84 / Pseudo mercator).
+  - Note that the CRS of the canvas is now WGS 84 / Pseudo mercator and units are in meters.
   - If you have other vector layer that can help you define the limits of your study area, you can add them to the canvas by clicking on the 'add vector layer' icon.
   - Digitize the zone defining your study area. You first need to add a new polygon shapefile layer under Layer>New>New Shapefile layer. Specify the proper CRS depending on the extent of your study area and specify a name for your layer. It is always preferable to work with a reference system that uses meters as units, such as UTM (medium extent), MTM (small extent in Quebec) or Lambert (large extent). Refrain from using a latitude/longitude system.
@@ Line 64: / Line 64: @@
 <file>
-mask<-readGDAL(file.choose())
+mask<-read_stars(file.choose())
 </file>
@@ Line 72: / Line 72: @@
 <file>
-mask@data[mask@data==0]=NA
+mask[mask==0]=NA
 </file>