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README.md

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+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](https://mappingsupport.com). 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`](https://github.com/joshuasundance-swca/restgdf) library, designed for efficient and asynchronous interaction with ArcGIS FeatureLayers.
+- 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 server's respective owners.