Transcription of Segmentation of urban areas using road networks
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Segmentation of urban areas using road networks microsoft Research Technical Report MSR-TR-2012-65 Nicholas Jing YuanMicrosoft Research ZhengMicrosoft Research XieMicrosoft Research analysis is fundamental and crucial in many geospatial-related applications and research themes, such as trajectory analy-sis, human mobility study and urban planning. In this paper, wereport on an image-processing-based approach to segment urban ar-eas into regions by road networks . Here, each segmented region isbounded by the high-level road segments, covering some neighbor-hoods and low-level streets. Typically, road segments are classifiedinto different levels ( , highways and expressways are usuallyhigh-level roads), providing us with a more natural and semanticsegmentation of urban spaces than the grid-based partition show that through simple morphological operators, an urbanroad network can be eff
Segmentation of Urban Areas Using Road Networks Microsoft Research Technical Report MSR-TR-2012-65 Nicholas Jing Yuan Microsoft Research Asia nichy@microsoft.com
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Segmentation, Customer, Customer Segmentation with R, Customer Segmentation) Introduction, Profiling bank customers behaviour, Data Analytics: A Marketing Segmentation Case, Customer segmentation, Market Segmentation Using Kmeans, Market Segmentation Using K-Means, 447-2013 Multivariate Statistical Analysis, Segmentation and Classification, CUSTOMER DATA CLUSTERING USING D, Segmentation models and applications with R