Development of a QGIS Plugin to Dasymetric Mapping

Development of a QGIS Plugin to Dasymetric Mapping
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开发 Dasymetric 制图 QGIS 插件

DOI:
10.7275/3628-0a51
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发表时间:
2018
期刊:
Cartographica: The International Journal for Geographic Information and Geovisualization
影响因子:
--
通讯作者:
M. Queirós
M. Queirós
中科院分区:
--
文献类型:
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作者:
Nelson Mileu;M. Queirós

文献摘要

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人口统计数据通常由全息图表示,其中的统计数据被聚集到面积单位。这种类型的表示有几个与空间分析和分布相关的限制。在有意义的空间区域中显示统计数据的一种常见替代方法是等距映射技术。虽然等距制图已经存在了几十年,但用于探索等距制图方法的开源地理信息系统工具还很少。本文在QGIS软件中开发了一个地理信息系统(GIS)开源应用程序,该应用程序将距离图方法应用于葡萄牙吉马朗斯市2011年人口普查区块组人口,并使用Corine土地覆盖数据集将区块组人口重新分布到一个25米的网格中。该应用程序采用一种简单的质心抽样方法(在葡萄牙国家统计局INSPIRE ATOM下载服务中获得的地址主题的支持下),以获取关于不同土地利用类别的人口密度的信息,并使用类别密度比率将人口重新分配到次源区域。使用QGIS和地理资源分析支持系统(GRASS)提供的几种工具来生成常住人口面积图。应用程序开发支持Python2.7语言和PyQt4API。开发的QGIS插件是一个创新的工具,允许将人口映射到任何具有统计数据和Corine土地复盖层的案例研究。为了检验该工具得出的结果,我们将人口普查区块的人口与等距地图进行了比较。结果表明,等距作图法比Cholopeth作图法能更准确地确定种群分布。
Demographic data is usually represented by a choropleth map, where the statistical data is aggregated to areal units. This type of representation has several limitations associated with spatial analysis and distribution. A common alternative to display statistical data in meaningful spatial zones is the dasymetric mapping technique. Though dasymetric mapping has existed for many decades, the open source GIS tools to explore dasymetric mapping methods are scarce. In this paper, a Geographical Information System (GIS) open source application was developed in QGIS software that applies the dasymetric mapping method to the Portuguese Guimarães municipality 2011 Census block-group populations and uses Corine Land Cover Data Set to redistribute the block-group populations into a 25-m grid. The application employs a simple centroid sampling approach (supported by the Addresses theme obtained in the INSPIRE ATOM Download Service from the Portuguese National Statistics Institute, INE) to acquire information on the population densities for different land use classes, and it uses the ratio of class densities to redistribute population to sub-source zone areas. Several tools available from QGIS and Geographic Resources Analysis Support System (GRASS) GIS were employed to generate a resident population dasymetric map. The application development was supported in Python 2.7 language and PyQt4 API. The developed QGIS plugin is an innovative tool that allows the population mapping to any case study that has statistical data and the Corine Land Cover layer. To test the results obtained from the tool, census block populations were compared with the dasymetric map. The results indicate that dasymetric mapping produce more accurate population distributions than the choropleth approach.