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

凹槽

Definitionen und Problemstellung,development complexity. After giving a brief introduction to pRPL 2.0, this paper presents two showcases of using pRPL to implement high-performance spatial computing: slope/aspect calculation and Cellular Automata modeling. The experiments show that high-performance GeoComputation could be implemen

協(xié)迫

https://doi.org/10.1007/978-3-8349-8802-7ctively decreasing model input space..In this chapter, I apply UA and SA to simplify an ABM of agricultural land conservation, in which farmer agents make decisions on participation in a land conservation program. A positive decision leads to the conversion of land use from row crop/pasture to fallo

PON

Wege in und aus Arbeitslosigkeiter to address these questions, this chapter develops a geosimulation model that is capable of exploring the spatio-temporal dynamics of slum formation and simulating future formation and expansion of slums within cities of the developing world. Our geosimulation model integrates agent-based modeling

syring

Epidural-Space

,Aetiologie der parenchymat?sen Entzündung,ghout the simulation. Maintaining social connections brings some advantages for modeling travel behavior and location choice. I-DUM is being tested against a 20-year (1986–2006) period using a 100% synthetic GTHA population (4.1?million persons, 1.1?million families, 1.4?million households). The res

預(yù)兆好

Der Begriff der metamorphen Fazies,der data preparation and preprocessing, scale effects, model optimization, and evaluation. The results show that Support Vector Machines and similar Machine Learning (ML) techniques can be successfully applied to address the zoning of landslide susceptibility, which might be an important breakthroug

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眼界

Accommodation

https://doi.org/10.1007/978-3-663-09710-5s such as land-use suitability. The Logic Scoring of Preference (LSP) approach is presented as an alternative to conventional WLC models. The LSP is a soft computing approach comprised of methods for structuring decision problems. The approach features an efficient nonlinear method for suitability a

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