Introduction to spatial statistics

DOI

This dataset constitutes an introduction to plotting and mapping and the essential concepts of spatial data management and modeling. And data ready for several examples of regression and classification algorithms (Multiple Linear Regression, Generalized Linear Models, CART and Random Forest), also exploring classic interpolation methods (Inverse Distance Weighting and Kriging).

R, 4.2.1

This research has led to the development of teaching materials and the improvement of teaching practices.

Identifier
DOI https://doi.org/10.34810/data1784
Related Identifier IsCitedBy https://intro-r-mef.netlify.app/
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data1784
Provenance
Creator Gelabert Vadillo, Pere Joan ORCID logo; Rodrigues Mimbrero, Marcos ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Gelabert Vadillo, Pere Joan; Universitat de Lleida
Publication Year 2024
Funding Reference Agencia Estatal de Investigación PID2020-116556RA-I00
Rights CC BY-NC-SA 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc-sa/4.0
OpenAccess true
Contact Gelabert Vadillo, Pere Joan (Universitat de Lleida)
Representation
Resource Type Other; Dataset
Format application/zip; text/plain
Size 3340716343; 13737
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Forestry; Life Sciences