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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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樓主: Ford
51#
發(fā)表于 2025-3-30 12:06:06 | 只看該作者
52#
發(fā)表于 2025-3-30 15:14:35 | 只看該作者
53#
發(fā)表于 2025-3-30 18:57:56 | 只看該作者
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 decision making are also discussed.
54#
發(fā)表于 2025-3-30 22:25:57 | 只看該作者
55#
發(fā)表于 2025-3-31 02:22:03 | 只看該作者
https://doi.org/10.1007/978-3-476-03593-6n the development of PySAL: Python Library for Spatial Analysis, it touches on the opportunities and challenges related to the adoption of open source practices and culture. While open source has had major impacts on pedagogy and research in spatial analysis, these are somewhat under-appreciated and
56#
發(fā)表于 2025-3-31 08:58:42 | 只看該作者
https://doi.org/10.1007/978-3-642-92151-3blem 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
57#
發(fā)表于 2025-3-31 12:20:04 | 只看該作者
Die Gemischbildungen der Gasmaschinen 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
58#
發(fā)表于 2025-3-31 15:00:53 | 只看該作者
59#
發(fā)表于 2025-3-31 20:08:31 | 只看該作者
https://doi.org/10.1007/978-3-8349-8802-7loping 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
60#
發(fā)表于 2025-3-31 22:53:43 | 只看該作者
,Gesellschaft und M?rkte im Wandel,lds 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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