- Home
- Science
- Earth Sciences
- Science-Based Spatiotemporal Statistics (Practical Guide with Environmental and Human Exposure Applications)
Science-Based Spatiotemporal Statistics (Practical Guide with Environmental and Human Exposure Applications)
List Price:
$89.95
| Expected release date is Aug 17th 2028 |
- 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:
Hwa-Lung Yu, George Christakos
Format:
Hardcover
Pages:
350
Publisher:
CRC Press (August 17, 2028)
Imprint:
Chapman and Hall/CRC
Release Date:
August 17, 2028
Language:
English
ISBN-13:
9781482238037
Weight:
18oz
Dimensions:
6.125" x 9.1875"
File:
TAYLORFRANCIS-TayFran_250226054209099-20250226.xml
Folder:
TAYLORFRANCIS
List Price:
$89.95
Country of Origin:
United States
Pub Discount:
30
Series:
Chapman & Hall/CRC Applied Environmental Statistics
As low as:
$85.45
Publisher Identifier:
P-CRC
Discount Code:
H
Overview
This book provides an introduction to the theoretical development and practical methodology of the so-called science-based spatiotemporal statistics. The book capitalizes on the significance of integrating different knowledge sources (physical, ecological, health, and social) into formal spatiotemporal statistics and provides an array of practical procedures for incorporating these sources into composite space-time analysis, modeling, and estimation/prediction.
