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Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY
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image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
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MergingMethodofStructuredGeographicObjects

Research datakeyboard_double_arrow_right Dataset 08 Dec 2020Publisher:Zenodo
Authors: Pengda Wu;

doi: 10.5281/zenodo.4310403 , 10.5281/zenodo.4310434 , 10.5281/zenodo.4310404

MergingMethodofStructuredGeographicObjects

Abstract

The name of the program: MergingMethodofStructuredGeographicObjects The title of the manuscript: An Area Merging Method in Map Generalization Considering Typical Characteristics of Structured Geographic Objects The detailed information of the experimental data is as follows: 1. The data are national geographic census data of a city in China, covering an area of 699.38 km2, containing 30,903 land-ues patches, which describe the surface coverage in detail, its scale is 1:10000. 2. The geographical coordinates of the data are 34° 44' ~ 35° 1' N, and 114° 44' ~ 115°10' E. 3. We are happy to help the researchers who are interested in to use them. If you have any questions about the data, please feel free to contact with us at any time.

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