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GeoComputational Analysis and Modeling of Regional Systems 1st ed. 2018 [Kõva köide]

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  • Formaat: Hardback, 410 pages, kõrgus x laius: 235x155 mm, kaal: 7568 g, 79 Illustrations, color; 43 Illustrations, black and white; XI, 410 p. 122 illus., 79 illus. in color., 1 Hardback
  • Sari: Advances in Geographic Information Science
  • Ilmumisaeg: 07-Aug-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319595091
  • ISBN-13: 9783319595092
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GeoComputational Analysis and Modeling of Regional Systems 1st ed. 2018Suurem pilt
  • Formaat: Hardback, 410 pages, kõrgus x laius: 235x155 mm, kaal: 7568 g, 79 Illustrations, color; 43 Illustrations, black and white; XI, 410 p. 122 illus., 79 illus. in color., 1 Hardback
  • Sari: Advances in Geographic Information Science
  • Ilmumisaeg: 07-Aug-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319595091
  • ISBN-13: 9783319595092
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783319595092.html
Märksõnad:
The contributed volume collects cutting-edge research in GeoComputational Analysis of Regional Systems. The contributions emphasize methodological innovations or substantive breakthroughs on many facets of the socio-economic and environmental reality of regional contexts.

Introduction: Progress in GeoComputational Research.- Code as Text: Open Source Lessons for Geospatial Research and Education.- Considering diversity in spatial decision making.- Cyberinfrastructure-enabled High-performance and Parallel Computing for Geocomputational Modeling.- Agent-Based Modeling of Climate Change, Land Acquisition and Household Dynamics in Southern Ethiopia.- Modelling Regional Urban Dynamics: the JingJinJi Metropolitical Area in China.- Simulation of land use change and building construction for construction of new road infrastructure.- A Cellular Automata Model to Study Classical Technical Change at Municipalities in Mexico 1999-2009.- Multi-Agent-based Simulation on the Evolution and Development of Chinese Regional Economy with Technology and Capital Diffusion.- Integrating GIS and ABM to Explore Spatio-temporal Dynamics of Slum Formation in Ahmedabad, India.- The Spread of Cholera in Dadaab Refugee Camps: An Agent Based Modeling Perspective.- Labor mobility

and Creative Class across Metropolitan Areas of Mexico: an agent based modeling approach.- Mapping Brazilian Economic and Social Scenario Using GIS, Multivariate Statistics and Neural Networks.- Machine Learning and landslide assessment in a GIS environment.- Influence of DEM Uncertainty on the Individual-based Modeling of Dispersal Behavior: A Simple Experiment.- A Microsimulation Model of Labor Force Updating for the Integrated Land Use, Transportation, Environment (ILUTE) Model System.- Can remotely sensed data capture socio-economic spatial patterns .- Integration of soft computing with GIS for modeling land-use suitability.- A Semi-Automated Software Framework for Delineating Oil And Well Pad Footprints In Alberta, Canada.- A heuristic approach for delineating functional regions.- Comparative Space-Time Analysis of Warn Notices.- School facility location-allocation problems: modeling challenges, algorithmic development and visualization (a variation of this at least).- A spa

ce-time approach to reducing child pedestrian exposure to motor-vehicle commuter traffic.- pRPL 2.0: An Improved Parallel Raster Processing Library for High-performance GeoComputation.- Markov Chain Monte Carlo (MCMC) Simulation of Geostatistical Variogram Parameters of Unstructured Spatial Soil Test Phosphorus using Gibbs Sampler.- Visualizing and Detecting Space-Time Chain.
Part I General
GeoComputational Research on Regional Systems
3(4)
Jean-Claude Thill
Suzana Dragicevic
References
6(1)
Code as Text: Open Source Lessons for Geospatial Research and Education
7(16)
Sergio J. Rey
Introduction
7(1)
PySAL
8(5)
Lessons for Education
13(3)
Lessons for Research
16(4)
Conclusion
20(1)
References
21(2)
Considering Diversity in Spatial Decision Support Systems
23(14)
Ningchuan Xiao
Introduction
23(1)
Kinds of Diversity
24(6)
Embracing Diversity
30(3)
Conclusions
33(1)
References
34(3)
Parallel Computing for Geocomputational Modeling
37(18)
Wenwu Tang
Wenpeng Feng
Jing Deng
Meijuan Jia
Huifang Zuo
Introduction
37(1)
Parallel Computing
38(3)
Parallel Computing for Geocomputational Modeling
41(5)
Case Study
46(4)
Conclusion
50(1)
References
51(4)
High-Performance GeoComputation with the Parallel Raster Processing Library
55(22)
Qingfeng Guan
Shujian Hu
Yang Liu
Shuo Yun
Introduction
55(3)
Key Features of pRPL 2.0
58(5)
Showcases and Performance Assessments
63(8)
Conclusion
71(1)
References
72(5)
Part II Agent-based Systems and Microsimulations
`Can You Fix It?' Using Variance-Based Sensitivity Analysis to Reduce the Input Space of an Agent-Based Model of Land Use Change
77(24)
Arika Ligmann-Zielinska
Introduction
77(2)
Comprehensive Uncertainty and Sensitivity Analysis of Agent-Based Models of Land Use Change
79(4)
ABM of Agricultural Land Conservation and Model Setup
83(6)
Results of the Original ABM
89(3)
Model Simplification and Discussion
92(4)
Conclusions
96(1)
References
96(5)
Agent-Based Modeling of Large-Scale Land Acquisition and Rural Household Dynamics
101(20)
Atesmachew B. Hailegiorgis
Claudio Cioffi-Revilla
Introduction
101(1)
Rural Systems and Large-Scale Land Acquisition
102(2)
Prior Agent-Based Modeling on Traditional Societies in Rural Systems
104(1)
Setting, Situation and Study Area
105(2)
The OMOLAND Model
107(4)
Policy Scenarios
111(1)
Results
112(3)
Discussion and Conclusion
115(1)
References
116(5)
Spatial Agent-based Modeling to Explore Slum Formation Dynamics in Ahmedabad, India
121(22)
Amit Patel
Andrew Crooks
Naoru Koizumi
Introduction
121(3)
Modeling of Urban Systems
124(1)
Prior Efforts to Study Slum Formation using Geosimulation
125(1)
A Geosimulation Approach to Model Slum Formation
126(4)
Case Study: Ahmedabad
130(3)
Simulation Results
133(4)
Discussion and Future Research Directions
137(1)
References
138(5)
Incorporating Urban Spatial Structure in Agent-Based Urban Simulations
143(24)
Haoying Wang
Introduction
143(2)
Components of Agent-Based Urban Simulation
145(2)
Incorporating Urban Spatial Structure
147(1)
Transportation and Congestion: An Application
148(4)
ABM Simulation: Land Development and Congestion
152(10)
Concluding Remarks
162(2)
References
164(3)
The ILUTE Demographic Microsimulation Model for the Greater Toronto-Hamilton Area: Current Operational Status and Historical Validation
167(24)
Franco Chingcuanco
Eric J. Miller
Introduction
167(1)
Literature Review
168(2)
The ILUTE Model System
170(2)
Overview of the ILUTE Demographic Updating Module
172(3)
Descriptions of Individual I-DUM Processes
175(4)
Simulation Results
179(5)
Discussion and Future Directions
184(2)
References
186(5)
Part III Heuristics, Data Mining, & Machine Learning
Machine Learning and Landslide Assessment in a GIS Environment
191(24)
Milos Marjanovic
Branislav Bajat
Biljana Abolmasov
Milos Kovacevic
Introduction
191(1)
Related Work
192(3)
Modeling Principles
195(6)
Practical Example: Halenkovice Case Study
201(8)
Conclusion
209(2)
References
211(4)
Influence of DEM Uncertainty on the Individual-Based Modeling of Dispersal Behavior: A Simple Experiment
215(22)
Vincent B. Robinson
Introduction
215(2)
Methodology
217(11)
Results and Discussion
228(5)
Concluding Comments
233(1)
References
234(3)
A Semi-Automated Software Framework Using GEOBIA and GIS for Delineating Oil and Well Pad Footprints in Alberta, Canada
237(20)
Verda Kocabas
Introduction
237(2)
Methodology
239(4)
Feature Extraction System
243(4)
Automated Quality Control System
247(3)
Results and Discussion
250(3)
Conclusion
253(2)
References
255(2)
Modeling Urban Land-Use Suitability with Soft Computing: The GIS-LSP Method
257(20)
Suzana Dragicevic
Jozo Dujmovic
Richard Minardi
Introduction
257(3)
Properties of the Logic Scoring of Preference (LSP) Method
260(3)
Approach for Designing GIS-LSP Urban Land Suitability Maps
263(6)
GIS-Based LSP Suitability Maps
269(2)
Conclusions
271(2)
References
273(4)
An Algorithmic Approach for Simulating Realistic Irregular Lattices
277(28)
Juan C. Duque
Alejandro Betancourt
Freddy H. Marin
Introduction
277(3)
Conceptualizing Polygons and Lattices
280(3)
Topological Characteristics of Regular and Irregular Lattices
283(3)
RI-Maps: An Algorithm for Generating Realistic Irregular Lattices
286(11)
Results
297(2)
Application of RI-Maps
299(1)
Conclusions
300(1)
References
301(4)
A Robust Heuristic Approach for Regionalization Problems
305(20)
Kamyoung Kim
Yongwan Chun
Hyun Kim
Introduction
305(1)
Literature Review
306(4)
Problem Statement
310(5)
Application Results
315(7)
Conclusions
322(1)
References
322(3)
iGLASS: An Open Source SDSS for Public School Location-Allocation
325(30)
Min Chen
Jean-Claude Thill
Eric Delmelle
Introduction
325(1)
Literature Review
326(6)
Problem Formulation
332(2)
Solution Algorithms
334(9)
iGLASS Implementation
343(2)
Case Study
345(5)
Conclusions
350(1)
References
351(4)
A Space-Time Approach to Reducing Child Pedestrian Exposure to Motor-Vehicle Commuter Traffic
355(18)
Nikolaos Yiannakoulias
William Bland
Introduction
355(2)
Method
357(3)
Application
360(3)
Results
363(4)
Discussion
367(4)
Conclusion
371(1)
References
371(2)
Decomposing and Interpreting Spatial Effects in Spatio-Temporal Analysis: Evidences for Spatial Data Pooled Over Time
373(22)
Jean Dube
Diego Legros
Introduction
373(2)
Spatial and Spatio-Temporal Modeling in Real Estate Literature
375(5)
Estimation Methods
380(1)
A Monte Carlo Experiment
381(5)
An Empirical Application
386(5)
Conclusion
391(1)
References
392(3)
An Open Source Spatiotemporal Model for Simulating Obesity Prevalence
395
Jay Lee
Xinyue Ye
Introduction
395(2)
An Open Source Approach to Obesity Simulations
397(3)
Obesity Prevalence Simulator: A Case Study of Summit County, Ohio
400(7)
Concluding Remarks
407(1)
References
408
Jean-Claude Thill is Knight Distinguished Professor of Public Policy at the University of North Carolina at Charlotte. He received his doctoral degree in Geography from the Université Catholique de Louvain, Louvain-la-Neuve, Belgium. He is the Editor-in-Chief of Computers, Environment and Urban Systems, and serves on the editorial board of a number of international journals in geography, urban science and regional science. He served as President of the Regional Science Association International (RSAI) and has been elected Fellow of RSAI. His research has focused on the spatial organization of socio-economic systems across scales. His recent contributions have involved leveraging spatial data analytics (including GeoComputation) to better apprehend urban and regional systems at a finer spatio-temporal granularity.





Suzana Dragicevic is a Professor at the Department of Geography and director of the Spatial Analysis and Modeling(SAM) Research Laboratory, Simon Fraser University, Canada. She is co-editor of the Springer book series Advances in Geographic Information Science and associate editor for the journals Computers, Environment and Urban Systems; Landscape and Urban Planning; Geomatica; and Earth Science Informatics. In addition she is a member of several international journal editorial boards. Dr. Dragicevic currently serves as vice-president of the International Society of Photogrammetry and Remote Sensing (ISPRS) Technical Commission IV for Spatial Information Science. Her main research work is in the fields of GeoComputation and GeoSimulations, particularly dealing with the integration of GIS, complexity science and artificial intelligence for the analysis and modeling of complex dynamic geographical systems.