Introduction to R Spatial

2022-03-24

R spatial watering talents
Introduction to R Spatial
Víctor
Víctor Granda-García
Ecosystem Modelling Facility - CREAF
Roberto
Roberto Molowny-Horas
Ecosystem Modelling Facility - CREAF

Course description

The aim of this course is to become familiar working with spatial data in R. In the first half of the course we will show how we can load and inspect vector and raster data from within your R session. This also includes basic vector operations, like e.g. spatial joins and filters, raster algebra (merge, extract…) as well as some basic visualization techniques. In the second half of the course, we will illustrate the use of spatial data in statistical analysis like e.g. raster interpolation, point pattern analysis and krigging.

Last course event

Last course event was hold at CREAF between 2022-03-14 and 2022-03-18

Materials:

01_introduction_to_vector_data.pdf

02_introduction_to_raster_data.pdf

03_introduction_to_spatial_statistics_toc.pdf

04_introduction_to_spatial_statistics_gbif_data.pdf

05_introduction_to_spatial_statistics_worldclim_data.pdf

06_spatial_homogeneity_of_point_patterns.pdf

07_spatial_autocorrelation.pdf

08_spatial_interpolation.pdf

09_spatial_correlation_structure_in_linear_regression.pdf

10_geographically_weighted_regression.pdf

WHAT WE DO
  • Provide training and technical support for modelling activities to research groups at CREAF.
  • Develop and promote the use of process-based and empirical models aimed at predicting the response of terrestrial ecosystems to global change at multiple scales from the forest stand to the region.
  • Facilitate discovery of data sets or models relevant for ecosystem modelling activities.
  • Develop tools aimed at facilitating the interoperability between data sources and models, and between different models.
  • Develop and maintain interactive web applications for ecosystem data exploration and visualization.
CONTACT

Campus de Bellaterra (UAB) Edifici C

08193 Cerdanyola del Vallès

EcosystemModellingFacility@creaf.uab.cat

This action is part of the Severo Ochoa "ULandscape" funded in 2019 by the Agencia Estatal de Investigación of the Spanish Ministry of Science and Innovation to support Research Centres of Excellence.

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