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Functional Area Recognition and Use-Intensity Analysis Based on Multi-Source Data: A Case Study of J...

Functional Area Recognition and Use-Intensity Analysis Based on Multi-Source Data: A Case Study of J...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2ec1b90efd0047d0bfee17b4cd36467c

Functional Area Recognition and Use-Intensity Analysis Based on Multi-Source Data: A Case Study of Jinan, China

About this item

Full title

Functional Area Recognition and Use-Intensity Analysis Based on Multi-Source Data: A Case Study of Jinan, China

Publisher

Basel: MDPI AG

Journal title

ISPRS international journal of geo-information, 2021-10, Vol.10 (10), p.640

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

This paper proposes a GIS-based field model for hot-spot extraction based on POI data and analyzes the use intensity of functional areas by using Tencent location data to identify and describe the morphological characteristics and dynamic use intensity of facilities in urban functional areas. Taking the four districts of Jinan City Center as an exa...

Alternative Titles

Full title

Functional Area Recognition and Use-Intensity Analysis Based on Multi-Source Data: A Case Study of Jinan, China

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2ec1b90efd0047d0bfee17b4cd36467c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2ec1b90efd0047d0bfee17b4cd36467c

Other Identifiers

ISSN

2220-9964

E-ISSN

2220-9964

DOI

10.3390/ijgi10100640

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