Torrent details for "Yu D. Spatial Data Analysis With R 2025" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
3.8 MB
Info Hash:
665DE01AC10784C6C732B2E3A7F4AAE9821F560D
Added By:
Added:
April 16, 2026, 5:24 p.m.
Stats:
|
(Last updated: April 16, 2026, 5:25 p.m.)
| File | Size |
|---|---|
| Yu D. Spatial Data Analysis With R 2025.pdf | 3.8 MB |
Name
DL
Uploader
Size
S/L
Added
-
758.8 MB
[13
/
27]
2025-07-03
| Uploaded by Yurievij | Size 758.8 MB | Health [ 13 /27 ] | Added 2025-07-03 |
NOTE
SOURCE: Yu D. Spatial Data Analysis With R 2025
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format This is an introduction for social science students to the growing field of spatial data analysis using the R platform. The text assumes no prior knowledge of either, beyond the contents of an introductory statistics course. It uses the open-source software R, and relevant spatial data analysis packages, to provide practical guidance of how to conduct spatial data analysis with readers' own data sets. The book first briefly introduces students to R, covers some basic concepts in statistical data analysis, and then focuses on discussing the central ideas of spatial data analysis. All the discussions are supported with R scripts so that students can work on their own and produce results that the book helps interpret. Each chapter ends with review questions to test understanding. The book is suited for upper-level undergraduate social science students and graduate students, and other social scientists who are interested in analyzing their spatial data with R. A companion website for the book can be found on the Resources tab above. It includes R code and data for students to replicate the examples in the book. The password-protected instructor side of the site includes exercises and answers which can be set for homework
×