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Titlebook: GeoComputational Analysis and Modeling of Regional Systems; Jean-Claude Thill,Suzana Dragicevic Book 2018 Springer International Publishin

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發(fā)表于 2025-3-21 18:38:55 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱GeoComputational Analysis and Modeling of Regional Systems
編輯Jean-Claude Thill,Suzana Dragicevic
視頻videohttp://file.papertrans.cn/384/383043/383043.mp4
概述No similar book on the market.Student-friendly in employing numerous step-by-step tutorials to help the reader learn quickly.Prepares readers for the future with coverage on next generation Flash.Sugg
叢書名稱Advances in Geographic Information Science
圖書封面Titlebook: GeoComputational Analysis and Modeling of Regional Systems;  Jean-Claude Thill,Suzana Dragicevic Book 2018 Springer International Publishin
描述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.
出版日期Book 2018
關(guān)鍵詞Agent-based Systems; Computational Algorithms; GIScience; GeoComputation; Regional Environments; Urban En
版次1
doihttps://doi.org/10.1007/978-3-319-59511-5
isbn_softcover978-3-319-86641-3
isbn_ebook978-3-319-59511-5Series ISSN 1867-2434 Series E-ISSN 1867-2442
issn_series 1867-2434
copyrightSpringer International Publishing AG 2018
The information of publication is updating

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Considering Diversity in Spatial Decision Support Systemsblem under these considerations will help decision makers and stakeholders understand the structure of the problem and explore the solutions. This paper provides a comprehensive overview of diversity in spatial decision making. Methodological frameworks for incorporating diversity in spatial decisio
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Parallel Computing for Geocomputational Modeling to domain-specific science discovery. The capability of these high-performance computing resources and associated parallel technologies has greatly stimulated researchers to utilize them for domain-specific problem-solving that requires considerable computational support. The objective of this pape
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‘Can You Fix It?’ Using Variance-Based Sensitivity Analysis to Reduce the Input Space of an Agent-Baloping parsimonious models. To decrease ABM dimensionality, a comprehensive uncertainty analysis (UA) and sensitivity analysis (SA) are employed, where input uncertainty is propagated through the model using Monte Carlo simulations, resulting in probability distributions (PDs) of outputs. The PDs ar
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Agent-Based Modeling of Large-Scale Land Acquisition and Rural Household Dynamicslds using a computational modeling approach. The case study examined is the South Omo Zone in southern Ethiopia, where ongoing large-scale land acquisition transactions generate new dynamics in climate-stressed rural communities living in fragile biophysical environments. The study presents a novel
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The ILUTE Demographic Microsimulation Model for the Greater Toronto-Hamilton Area: Current Operationpatial form, economic structure, demographics and travel behavior over time for the Greater Toronto-Hamilton Area (GTHA). This chapter presents the ILUTE Demographic Updating Module (I-DUM), which updates the residential population demographics throughout the simulation. Given a synthetic base popul
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