metadata
language:
- en
tags:
- gis
- geospatial
license: mit
size_categories:
- 100K<n<1M
govgis_nov2023
🤖 This README was written by GPT-4. 🤖
govgis_nov2023
is an extensive compilation of metadata, documenting geospatial data from known government servers as of November 15 2023. This should provide a rich resource for GIS analysis, research, and application development.
These datasets contain data from various Federal, State, County, and City ArcGIS Servers listed by Joseph Elfelt of Mapping Support. It serves as a unique snapshot capturing the state of these servers in November 2023.
This repo contains the [very messy] notebooks with the code used to compile the data and save it in parquet format.
Overview
- Content: Includes three primary files: servers.parquet, services.parquet, and layers.parquet, offering detailed insights into numerous GIS servers and layers.
- Size and Scope: The dataset covers data from 1684 servers, detailing almost a million individual layers with extensive metadata including field information for feature layers, cell size for raster layers, etc.
- Format: Data is stored in Parquet format, facilitating efficient storage and quick access.
- Status: This is a static snapshot and not actively maintained like Joseph Elfelt’s ongoing listings. However, this foundation may evolve into a maintained index.
Data Collection
- Tools & Libraries Used: Data was collected using the
restgdf
library, designed for efficient and asynchronous interaction with ArcGIS servers. - Process: The dataset was created by scraping information from a wide range of ArcGIS servers, focusing on capturing a comprehensive and detailed snapshot as of November 2023.
- Verification: While data integrity was a focus, the dataset was not subjected to extensive cleaning, preserving the raw and detailed nature of the information.
Data Processing
- Data Cleaning: Minimal cleaning was conducted to maintain the dataset's comprehensive and raw nature, allowing users to filter and process data as needed.
- Data Transformation: Collected data was standardized and converted into Parquet format for ease of use and accessibility.
Use Cases
The govgis_nov2023
dataset can be utilized for:
- Educational and Research Purposes: A valuable resource for GIS students, educators, and researchers.
- Geospatial Data Analysis: Ideal for analysts and data scientists for conducting extensive geospatial analyses.
- GIS Application Development: Useful for developers in building or enhancing GIS-related applications.
- Language Model Integration: The dataset can be used to train or evaluate language models for generating descriptions or summaries of GIS data.
Conclusion
- Creation: This dataset was created using the restgdf library, emphasizing the potential of open-source contributions in the GIS field.
- Data Source: The dataset comprises data from publicly accessible ArcGIS servers. The dataset creator has no affiliation with Joseph Elfelt, MappingSupport.com, or the servers' respective owners.