Analysis of the Spatial Variation of Network-Constrained Phenomena Represented by a Link Attribute Using a Hierarchical Bayesian Model

Analysis of the Spatial Variation of Network-Constrained Phenomena Represented by a Link Attribute Using a Hierarchical Bayesian Model

The spatial variation of geographical phenomena is a classical problem in spatial data analysis and can provide insight into underlying processes. Traditional exploratory methods mostly depend on the planar distance assumption, but many spatial phenomena are constrained to a subset of Euclidean spac...

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Bibliographic Details
Main Authors: Zhensheng Wang, Yang Yue, Qingquan Li, Ke Nie, Changbin Yu
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:ISPRS International Journal of Geo-Information
Subjects:
network-constrained
points of interests
hierarchical Bayesian model
attribute-based method
local indicators of network-constrained clusters (LINCS)
Online Access:http://www.mdpi.com/2220-9964/6/2/44

Internet

http://www.mdpi.com/2220-9964/6/2/44

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