Dataset for "Geospatial analysis of toponyms in geotagged social media posts"

Geotagged Twitter posts dataset Dataset used for the research presented in the following paper: Takayuki Hiraoka, Takashi Kirimura, Naoya Fujiwara (2024) "Geospatial analysis of toponyms in geo-tagged social media posts". We collected georeferenced Twitter posts tagged to coordinates inside the bounding box of Japan between 2012-2018. The present dataset represents the spatial distributions of all geotagged posts as well as posts containing in the text each of 24 domestic toponyms, 12 common nouns, and 6 foreign toponyms. The code used to analyze the data is available on GitHub. Data description preprocessed_mcntlt7_selected/: Number of geotagged twitter posts in each grid cell. Each csv file under this directory associates each grid cell (spanning 30 seconds of latitude and 45 secoonds of longitude, which is approximately a 1km x 1km square, specified by an 8 digit code m3code) with the number of geotagged tweets tagged to the coordinates inside that cell (tweetcount). file_names.json relates each of the toponyms studied in this work to the corresponding datafile (all denotes the full data). Note that these data files are modified from the v1.0.0 to exclude posts that contain seven or more mentions. population/population_center_2020.xlsx: Center of population of each municipality based on the 2020 census. Derived from data published by the Statistics Bureau of Japan on their website (Japanese) population/census2015mesh3_totalpop_setai_area.csv: Resident population in each grid cell based on the 2015 census. Derived from data published by the Statistics Bureau of Japan on e-stat (Japanese) population/economiccensus2016mesh3_jigyosyo_jugyosya_area.csv: Employed population in each grid cell based on the 2016 Economic Census. Derived from data published by the Statistics Bureau of Japan on e-stat (Japanese) japan_MetropolitanEmploymentArea2015map/: Shape file for the boundaries of Metropolitan Employment Areas (MEA) in Japan. See this website for details of MEA. ward_shapefiles/: Shape files for the boundaries of wards in large cities, published by the Statistics Bureau of Japan on e-stat带地理标签的推文数据集（Geotagged Twitter posts dataset） 本数据集用于以下论文的相关研究：Takayuki Hiraoka、Takashi Kirimura、Naoya Fujiwara（2024）《地理标记社交媒体帖子中地名的空间分析》（Geospatial analysis of toponyms in geo-tagged social media posts）。 我们收集了2012年至2018年间，日本地理边界框（bounding box）范围内坐标标记的地理参考推文。本数据集涵盖所有地理标记推文的空间分布，以及文本中分别包含24个国内地名、12个普通名词与6个外国地名的各类推文的空间分布。用于数据分析的代码已开源至GitHub平台。 数据集说明 preprocessed_mcntlt7_selected/：各网格单元内的地理标记推文数量。该目录下的每个CSV文件均将每个网格单元（纬度跨度30角秒、经度跨度45角秒，近似为1km×1km的正方形，以8位代码m3code标识）与该单元内坐标对应的地理标记推文数量（tweetcount，推文计数）相关联。file_names.json将本研究涉及的所有地名与对应的数据文件关联（all代表全量数据集）。请注意，这些数据文件已从v1.0.0版本修改，剔除了包含7个及以上提及（mentions）的推文。 population/population_center_2020.xlsx：基于2020年人口普查的各市级行政区人口重心数据。数据源自日本总务省统计局官网发布的公开资料（日文版）。 population/census2015mesh3_totalpop_setai_area.csv：基于2015年人口普查的各网格单元常住人口数据。数据源自日本总务省统计局在e-stat平台发布的公开资料（日文版）。 population/economiccensus2016mesh3_jigyosyo_jugyosya_area.csv：基于2016年经济普查的各网格单元就业人口数据。数据源自日本总务省统计局在e-stat平台发布的公开资料（日文版）。 japan_MetropolitanEmploymentArea2015map/：日本都市雇佣区（Metropolitan Employment Area，MEA）边界的形状文件。有关MEA的详细信息，请参阅该官方网站。 ward_shapefiles/：日本大型城市行政区边界的形状文件，数据源自日本总务省统计局在e-stat平台发布的公开资料。