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1
Earth observation in service of the 2030 Agenda for Sustainable Development
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Article
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Earth observation in service of the 2030 Agenda for Sustainable Development

Geo-spatial information science, 2017-04, Vol.20 (2), p.77-96 [Peer Reviewed Journal]

2017 Wuhan University. Published by Taylor & Francis Group 2017 ;2017 Wuhan University. Published by Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1009-5020 ;EISSN: 1993-5153 ;DOI: 10.1080/10095020.2017.1333230

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2
Market analysis of the relationship between Brazilian Federal Government and the geospatial industry
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Article
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Market analysis of the relationship between Brazilian Federal Government and the geospatial industry

Geo-spatial information science, 2024-01, Vol.27 (1), p.163-182 [Peer Reviewed Journal]

2022 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group. 2022 ;2022 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1009-5020 ;EISSN: 1993-5153 ;DOI: 10.1080/10095020.2022.2094288

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3
Completeness of citizen science biodiversity data from a volunteered geographic information perspective
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Article
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Completeness of citizen science biodiversity data from a volunteered geographic information perspective

Geo-spatial information science, 2017-01, Vol.20 (1), p.3-13 [Peer Reviewed Journal]

2017 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group 2017 ;2017 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1009-5020 ;EISSN: 1993-5153 ;DOI: 10.1080/10095020.2017.1288424

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4
Where to catch 'em all? - a geographic analysis of Pokémon Go locations
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Article
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Where to catch 'em all? - a geographic analysis of Pokémon Go locations

Geo-spatial information science, 2017-07, Vol.20 (3), p.241-251 [Peer Reviewed Journal]

2017 Wuhan University. Published by Taylor & Francis Group 2017 ;2017 Wuhan University. Published by Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1009-5020 ;EISSN: 1993-5153 ;DOI: 10.1080/10095020.2017.1368200

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5
Epidemiological-survey-based multidimensional modeling for understanding daily mobility during the COVID-19 pandemic across urban-rural gradient in the Chinese mainland
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Article
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Epidemiological-survey-based multidimensional modeling for understanding daily mobility during the COVID-19 pandemic across urban-rural gradient in the Chinese mainland

Geo-spatial information science, 2023-10, Vol.26 (4), p.603-615 [Peer Reviewed Journal]

2023 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group. 2023 ;2023 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1009-5020 ;EISSN: 1993-5153 ;DOI: 10.1080/10095020.2022.2156821

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