Spatial distributions of languages extracted from Twitter

This is a collection of GeoJSON files containing the counts of users of local language groups in every cell of a grid laid over several regions of interest. The cells are defined as squares in a projected system of coordinates adapted to each country, the sides of which have a size specified in the file names (cell_size=Xm). <br><br>These counts were obtained through the processing of geo-located tweets posted between 2015 and 2019 in these regions, collected through the streaming API of Twitter, and more specifically using the "statuses/filter" endpoint (see Ref. 1). This endpoint provides a sample of tweets in real time matching some provided filters. Bounding box filters were set to collect tweets from a set of countries of interest. Before reproducing this method of data collection, one should bear in mind that the current form and even the availability of this endpoint is subject to future changes introduced by the Twitter Developer's team. The code used to make this processing as well as to visualize these data is available on GitHub (see Ref. 2).

本数据集为一系列GeoJSON文件，涵盖覆盖多个目标区域的网格中每个网格单元内的本地语言群组用户数量统计数据。该网格单元为适配各国家的投影坐标系下的正方形，其边长信息在文件名中标注为cell_size=Xm。

此类统计数据由2015年至2019年上述区域内的地理标记推文处理得到，相关推文通过Twitter流式API采集，具体使用了"statuses/filter"接口（详见参考文献1）。该接口可实时提供匹配指定筛选条件的推文样本，本次采集通过设置边界框筛选条件，获取目标国家区域内的推文。

若要复现本数据采集方法，需注意：该接口的当前形式乃至可用性均可能随Twitter开发者团队后续推出的更新而发生变更。用于完成该数据处理与可视化的代码已上传至GitHub平台（详见参考文献2）。