null
Loading... Please wait...
FREE SHIPPING on All Unbranded Items LEARN MORE
Print This Page

Statistical Geoinformatics for Human Environment Interface

List Price: $89.99
SKU:
9781138372726
Quantity:
Minimum Purchase
25 unit(s)
  • 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
FULL DETAILS
  • 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:
    Wayne L. Myers, Ganapati P. Patil
    Format:
    Paperback
    Pages:
    223
    Publisher:
    CRC Press (September 10, 2018)
    Language:
    English
    Audience:
    Professional and scholarly
    ISBN-13:
    9781138372726
    Weight:
    14.875oz
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_260123055423600-20260123.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $89.99
    Country of Origin:
    United States
    Series:
    Chapman & Hall/CRC Applied Environmental Statistics
    Case Pack:
    1
    As low as:
    $85.49
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Pub Discount:
    30
    Imprint:
    Chapman and Hall/CRC
  • Overview

    Illustrating the interdisciplinary nature of geoinformatics, this book presents two paradigms (localization and multiple indicators) for the spatial analysis of human influences and environmental resources. The first approach localizes thematic targets by treating space as a pattern of vicinities, with the pattern being a square grid and the placement of vicinities centrically referenced. The second approach explores human/environment interface as an abstraction through indicators, neutralizing the common conundrum of how to reconcile disparate spatial structures such as points, lines, and polygons.