- Home
- Social Science
- Sociology
- GIS and Spatial Analysis for the Social Sciences (Coding, Mapping, and Modeling) - 9780415521062
GIS and Spatial Analysis for the Social Sciences (Coding, Mapping, and Modeling) - 9780415521062
List Price:
$95.95
| Expected release date is Dec 27th 2027 |
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Author:
Tony Grubesic, William Pridemore, Robert Nash Parker, Emily K. Asencio
Format:
Paperback
Pages:
320
Publisher:
Taylor & Francis (December 27, 2027)
Release Date:
December 27, 2027
Language:
English
ISBN-13:
9780415521062
Dimensions:
8.25" x 11"
File:
TAYLORFRANCIS-TayFran_260116060413094-20260116.xml
Folder:
TAYLORFRANCIS
List Price:
$95.95
Series:
Sociology Re-Wired
As low as:
$91.15
Publisher Identifier:
P-CRC
Discount Code:
H
Country of Origin:
United States
Pub Discount:
30
Imprint:
Routledge
Weight:
16oz
Overview
GIS and Spatial Analysis for the Social Sciences, Second Edition is a foundational text that provides sociologists, criminologists, political scientists, and other social scientists with the methodological logic and techniques for doing spatial analysis in their chosen fields of inquiry. The book provides a wealth of examples as to why these techniques are worth doing, over and above conventional statistical techniques using STATA, R, SPSS or other statistical packages. This new edition will offer a wealth of screenshots from the open source software, QGIS, to give students step-by-step instruction along with an extensive companion website with new data sets and instructor support material.
