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Points of Interest (POI): a commentary on the state of the art, challenges, and prospects for the future
by
Andris, Clio
, Purves, Ross
, McKenzie, Grant
, Yuan, May
, Kim, Eun-Kyeong
, Hu, Yingjie
, Psyllidis, Achilleas
, Gao, Song
in
Computer Appl. in Social and Behavioral Sciences
/ Earth and Environmental Science
/ Geographic Representation
/ Geographical Information Systems/Cartography
/ Geography
/ Landscape/Regional and Urban Planning
/ Original Paper
/ Place
/ Points of Interest
/ Spatial Data
2022
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Points of Interest (POI): a commentary on the state of the art, challenges, and prospects for the future
by
Andris, Clio
, Purves, Ross
, McKenzie, Grant
, Yuan, May
, Kim, Eun-Kyeong
, Hu, Yingjie
, Psyllidis, Achilleas
, Gao, Song
in
Computer Appl. in Social and Behavioral Sciences
/ Earth and Environmental Science
/ Geographic Representation
/ Geographical Information Systems/Cartography
/ Geography
/ Landscape/Regional and Urban Planning
/ Original Paper
/ Place
/ Points of Interest
/ Spatial Data
2022
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Do you wish to request the book?
Points of Interest (POI): a commentary on the state of the art, challenges, and prospects for the future
by
Andris, Clio
, Purves, Ross
, McKenzie, Grant
, Yuan, May
, Kim, Eun-Kyeong
, Hu, Yingjie
, Psyllidis, Achilleas
, Gao, Song
in
Computer Appl. in Social and Behavioral Sciences
/ Earth and Environmental Science
/ Geographic Representation
/ Geographical Information Systems/Cartography
/ Geography
/ Landscape/Regional and Urban Planning
/ Original Paper
/ Place
/ Points of Interest
/ Spatial Data
2022
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Points of Interest (POI): a commentary on the state of the art, challenges, and prospects for the future
Journal Article
Points of Interest (POI): a commentary on the state of the art, challenges, and prospects for the future
2022
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Overview
In this commentary, we describe the current state of the art of points of interest (POIs) as digital, spatial datasets, both in terms of their quality and affordings, and how they are used across research domains. We argue that good spatial coverage and high-quality POI features — especially POI category and temporality information — are key for creating reliable data. We list challenges in POI geolocation and spatial representation, data fidelity, and POI attributes, and address how these challenges may affect the results of geospatial analyses of the built environment for applications in public health, urban planning, sustainable development, mobility, community studies, and sociology. This commentary is intended to shed more light on the importance of POIs both as standalone spatial datasets and as input to geospatial analyses.
Publisher
Springer Nature Singapore,Springer
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