Division, District, Upazila and, Union level fully mapped Dataset in SQL, CSV, JSON, XML, and PHP format.
翻译 - 分区，区域，Upazila和联盟级别完全以SQL，CSV，JSON，XML和PHP格式映射了数据集。
An open database of Washington, DC Advisory Neighborhood Commission districts, commissioners, and candidates.
Shapefiles for selected county commissioner districts.
Letter of Appreciation from District Industries Commissioner Mathura (Academic Industry Interface)
A preference builder for Hennepin County Special Election for 3rd Commissioner District primary on April 29, 2014.
DU Data Analysis Project 3 - Redistricting El Paso County, CO County Commissioner Districts
针对中国大陆地区的查询 手机号码、电话号码、IP地址 归属地。
✨ A flexible, highly available district picker for picking provinces, cities and districts of China.
Data of provinces, cities and counties in china. 中国省市县数据。
Modelica library for building and district energy systems developed within IBPSA Project 1
Indonesia splitted geojson data from Humanitarian Data Exchange
GIS Service to fetch Indonesian's Province, Regency and Sub-District list
2020年省市区三级SQL数据
Tracking and measuring neighborhood and district-level eviction rates in the city of San Francisco.
Mobile application for employee attendance data management in Balaesang District government offices. This application is built with Flutter.
💡A flexible, highly available district selector for picking provinces, cities and districts of China base on weui.js.
Quest mod that adds a new district and lots of quests to the city of Badur's Gate!
Initiatory crash course on Modelica, its standard library and the IDEAS library for building and district energy simulations.
The primary objective of this project is to build a Real-Time Taxi Demand Prediction Model for every district and zone of NYC.
The model focuses on predicting the crop yield in advance by analyzing factors like district (assuming same weather and soil parameters in a particular district), state, season, crop type using variou...
This projects develops several SARIMAX time series models and neural networks (LSTM, GRU, CNN) to predict the hourly heat demand in a district heating network.
Data from the National Family Health Survey 2015/2016 supporting Mint's four-part series on India’s new geography of wealth