Badger 发表于 2025-3-30 09:28:19

https://doi.org/10.1007/978-3-662-34059-2utocorrelation with diagonal weights, factorial visualization of the network of regions, multivariate generalizations of Moran’s ., as well as “landscape clustering,” aimed at creating regional aggregates both spatially contiguous and endowed with similar features.

Panther 发表于 2025-3-30 14:54:20

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值得 发表于 2025-3-30 17:48:24

https://doi.org/10.1007/978-3-662-42497-1l consistency and classification plausibility. These methods are based on constraint checking and machine learning methods. They can be used to check the validity of data during contribution or at a later stage for collaborative manual or automatic data correction.

dearth 发表于 2025-3-30 21:14:04

https://doi.org/10.1007/978-3-662-33142-2n ontology highlighted in this paper utilizes an affordance based approach, which can be exploited for navigation purposes. A brief explanation of the routing methodology based on affordances is given in this paper, to justify the need for an indoor navigation ontology.

amygdala 发表于 2025-3-31 02:34:55

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改良 发表于 2025-3-31 08:23:50

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bromide 发表于 2025-3-31 12:35:53

Spatial Weights: Constructing Weight-Compatible Exchange Matrices from Proximity Matricesutocorrelation with diagonal weights, factorial visualization of the network of regions, multivariate generalizations of Moran’s ., as well as “landscape clustering,” aimed at creating regional aggregates both spatially contiguous and endowed with similar features.

违法事实 发表于 2025-3-31 16:00:20

Geosemantic Network-of-Interest Construction Using Social Media Dataes. An experimental evaluation assesses the quality of the algorithms by constructing networks for London and New York. The results show that this method is robust and provides accurate and interesting results that allow us to discover transportation hubs and critical transportation infrastructure.

ARIA 发表于 2025-3-31 19:43:46

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抗体 发表于 2025-4-1 01:44:05

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查看完整版本: Titlebook: Geographic Information Science; 8th International Co Matt Duckham,Edzer Pebesma,Andrew U. Frank Conference proceedings 2014 Springer Intern