Author : Kathryn Keranen
Publisher : Esri Press
Page : 0 pages
File Size : 42,48 MB
Release : 2014
Category : Geographic information systems
ISBN : 9781589483361
Accompanying DVD-ROM features data, maps and worksheets.
Author : Kathryn Keranen
Publisher : ESRI Press
Page : 0 pages
File Size : 45,63 MB
Release : 2017
Category : ArcGIS
ISBN : 9781589484849
This is a Higher Education GIS problem-solving, real-world scenario based guide, which features lessons from Keranen and Kolvoord's popular "Making Spatial Decisions" series that have been updated for Pro and use completely updated data.
Author : Kathryn Keranen
Publisher : ESRI Press
Page : 0 pages
File Size : 47,53 MB
Release : 2016
Category : ArcGIS.
ISBN : 9781589484290
The first workbook to highlight using lidar data with ArcGIS for Desktop.
Author : Timothy L. Nyerges
Publisher : Guilford Press
Page : 329 pages
File Size : 45,3 MB
Release : 2010-01-01
Category : Social Science
ISBN : 160623336X
This unique text shows students and professionals how geographic information systems (GIS) can guide decision making about complex community and environmental problems. The authors’ step-by-step introduction to GIS-based decision analysis methods and techniques covers important urban and regional issues (land, transportation, and water resource management) and decision processes (planning, improvement programming, and implementation). Real-world case studies demonstrate how GIS-based decision support works in a variety of contexts, with a special focus on community and regional sustainability management. Ideal for course use, the book reinforces key concepts with end-of-chapter review questions; illustrations include 18 color plates.
Author : Ramanathan Sugumaran
Publisher : CRC Press
Page : 510 pages
File Size : 34,71 MB
Release : 2010-11-15
Category : Business & Economics
ISBN : 1420062123
Although interest in Spatial Decision Support Systems (SDSS) continues to grow rapidly in a wide range of disciplines, students, planners, managers, and the research community have lacked a book that covers the fundamentals of SDSS along with the advanced design concepts required for building SDSS. Filling this need, Spatial Decision Support System
Author : Andy Mitchell
Publisher : ESRI, Inc.
Page : 190 pages
File Size : 32,3 MB
Release : 1999
Category : Computers
ISBN : 9781879102064
Backed by the collective knowledge and expertise of the worlds leading Geographic Information Systems company, this volume presents the concepts and methods unleashing the full analytic power of GIS.
Author : Kass Green
Publisher : ESRI Press
Page : 0 pages
File Size : 12,58 MB
Release : 2017
Category : Technology & Engineering
ISBN : 9781589484542
Imagery and GIS: Best Practices for Extracting Information from Imagery shows how imagery can be integrated successfully into GIS maps and analysis.
Author : Jean-Claude Thill
Publisher : Routledge
Page : 377 pages
File Size : 46,12 MB
Release : 2019-01-04
Category : Science
ISBN : 0429791526
First published in 1999, this volume consists of selected papers presented at the North American Meetings of the RSAI along with invited contributions from scholars active in the field of spatial multicriteria decision making and analysis. It is meant to present diverse lines of research in spatial multicriteria decision making and analysis under the multidisciplinary umbrella of Geographic Information Science. The first part explores selected theoretical and conceptual aspects of spatial multicriteria decision making and analysis not confined to any specific application domain. Part 2 consists of six chapters focusing on various forms of location decision and analysis problems. Finally, part 3 contains five chapters on various spatial decision problems whose systemic scope sets them apart from locational decision problems.
Author : Hamid Reza Pourghasemi
Publisher : Elsevier
Page : 800 pages
File Size : 23,34 MB
Release : 2019-01-18
Category : Science
ISBN : 0128156953
Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. - Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography - Provides an overview, methods and case studies for each application - Expresses concepts and methods at an appropriate level for both students and new users to learn by example
Author : Thomas Blaschke
Publisher : Springer Science & Business Media
Page : 804 pages
File Size : 27,7 MB
Release : 2008-08-09
Category : Science
ISBN : 3540770585
This book brings together a collection of invited interdisciplinary persp- tives on the recent topic of Object-based Image Analysis (OBIA). Its c- st tent is based on select papers from the 1 OBIA International Conference held in Salzburg in July 2006, and is enriched by several invited chapters. All submissions have passed through a blind peer-review process resulting in what we believe is a timely volume of the highest scientific, theoretical and technical standards. The concept of OBIA first gained widespread interest within the GIScience (Geographic Information Science) community circa 2000, with the advent of the first commercial software for what was then termed ‘obje- oriented image analysis’. However, it is widely agreed that OBIA builds on older segmentation, edge-detection and classification concepts that have been used in remote sensing image analysis for several decades. Nevert- less, its emergence has provided a new critical bridge to spatial concepts applied in multiscale landscape analysis, Geographic Information Systems (GIS) and the synergy between image-objects and their radiometric char- teristics and analyses in Earth Observation data (EO).
