Spatial Statistics for Data Science: Theory and Practice with R
Overview & Synopsis
Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. This book describes statistical methods, modeling approaches, and visualization techniques to analyze spatial data using R.
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Document Information
| Document Title | Spatial Statistics for Data Science: Theory and Practice with R |
|---|---|
| Author / Organization | Paula Moraga |
| Subject & Discipline | Geographic Information Science and Systems (GIS), Spatial Analysis, etc., Data Science, Statistics, and SAS Programming, The R Programming Language, Data Analysis and Data Mining |
| Categories | Geographic Information Science and Systems (GIS), Spatial Analysis, etc. |
| Publication Year | 2023 |
| ISBN | 1032633514 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | Verification pending |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-53588 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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