Tuberculosis Units - Kerala

AMCHSS Spatial Data Resources

Welcome to AMCHSS Spatial Data Library

Comprehensive geospatial datasets designed for researchers, GIS professionals, and data scientists.

Discover high-quality Tuberculosis Units spatial data with multiple format options, complete documentation, and ready-to-use examples for your project.

Explore Downloads View Documentation

Dataset Overview

This shapefile contains the spatial boundaries of Tuberculosis Units (TUs) in Kerala, India. The dataset represents 77 tuberculosis administrative units across various districts in the state, providing comprehensive coverage for TB surveillance and management purposes.

Multiple Formats

Available in 4+ formats including Shapefile, GeoJSON, R Data, CSV, and KML for interoperability.

Open Access

Available under permissive licensing for academic research, education, and appropriate commercial use.

High-Resolution Data

Downloads

Choose the format that best fits your workflow and analysis platform:

Format	Description	File Size	Best For	Download
Shapefile (.shp)	Traditional GIS format for desktop applications like ArcGIS and QGIS. Includes geometry, attributes, and projection info (.shx, .dbf, .prj files).	~4.5 MB (zipped)	Desktop GIS, traditional workflows	Download Shapefile
R Data (.rds)	Native R format using sf (Simple Features) package. Ready to load directly into R for spatial analysis. Compatible with R ≥3.5.0, requires sf and dplyr packages.	~5.7 MB	R users, statistical analysis	Download R Data
GeoJSON (.geojson)	OGC standard format supporting multiple layers, spatial indexes, and advanced geometries. Modern web-friendly spatial format.	~18.7 MB	Modern GIS, web applications	Download GeoJSON
KML (.kml)	Keyhole Markup Language for Google Earth, web mapping applications, and GPS devices. Includes styled features and descriptions.	~11.5 MB	Google Earth, web maps, GPS	Download KML

Download Information

Last Updated: 02 August 2025
Version: 1.0.0
Geometry Type: Polygon
Total Records: 77 spatial features
Coordinate System: WGS84 (EPSG:32643)

Documentation

Data Dictionary

Field Name	Type	Description
`fid`	Integer	Feature identifier (1-77)
`District`	String	District name where the TU is located
`TU_Name`	String	Tuberculosis Unit name

Usage Examples

R (using sf package)

# Load required libraries
library(sf)
library(tidyverse)

# Method 1: Load from RDS file
tu_sf <- read_rds("tuberculosis_units_kerala.rds")

# Method 2: Load from other formats
tu_sf <- st_read("tuberculosis_units_kerala.shp")

# Data Visualization using the `sf` package

# Plot TUs
tu_sf |> 
  ggplot() +
  geom_sf()

# Plot TUs by District  
tu_sf |> 
  ggplot() +
  geom_sf(
    aes(fill = District)
  )

Citation and Licensing

How to Cite

When using this data in your research, please cite as:

AMC Data Science Lab. (2025). Tuberculosis Units - Kerala (v1.0) [Dataset]. Retrieved from https://amchss.github.io/amchss-spatial-data

BibTeX:

@misc{amchss_spatial_2025,
  title={{Tuberculosis Units - Kerala (v1.0)}},
  author={{AMC Data Science Lab}},
  year={2025},
  version={1.0},
  url={https://amchss.github.io/amchss-spatial-data}
}

License Information

This dataset is released under the MIT License

--- title: "Tuberculosis Units - Kerala" subtitle: "AMCHSS Spatial Data Resources" format: html: page-layout: full --- ::: hero-section # Welcome to AMCHSS Spatial Data Library **Comprehensive geospatial datasets designed for researchers, GIS professionals, and data scientists.** Discover high-quality Tuberculosis Units spatial data with multiple format options, complete documentation, and ready-to-use examples for your project. [Explore Downloads](#downloads){.btn .btn-primary .btn-lg .me-3} [View Documentation](#documentation){.btn .btn-outline-secondary .btn-lg} ::: ## Dataset Overview {#overview} This shapefile contains the spatial boundaries of Tuberculosis Units (TUs) in Kerala, India. The dataset represents 77 tuberculosis administrative units across various districts in the state, providing comprehensive coverage for TB surveillance and management purposes. ::::::: features-grid ::: feature-card ### Multiple Formats Available in 4+ formats including Shapefile, GeoJSON, R Data, CSV, and KML for interoperability. ::: ::: feature-card ### Open Access Available under permissive licensing for academic research, education, and appropriate commercial use. ::: ::: feature-card ### High-Resolution Data ![](TU_map.png) ::: ::::::: ## Downloads {#downloads} Choose the format that best fits your workflow and analysis platform: | Format | Description | File Size | Best For | Download | |--------|-------------|-----------|----------|----------| | **Shapefile (.shp)** | Traditional GIS format for desktop applications like ArcGIS and QGIS. Includes geometry, attributes, and projection info (.shx, .dbf, .prj files). | ~4.5 MB (zipped) | Desktop GIS, traditional workflows | [Download Shapefile](https://github.com/amchss/amchss-spatial-data/blob/main/data/tuberculosis_units_kerala.zip) | | **R Data (.rds)** | Native R format using sf (Simple Features) package. Ready to load directly into R for spatial analysis. Compatible with R ≥3.5.0, requires sf and dplyr packages. | ~5.7 MB | R users, statistical analysis | [Download R Data](https://github.com/amchss/amchss-spatial-data/blob/main/data/tuberculosis_units_kerala.rds) | | **GeoJSON (.geojson)** | OGC standard format supporting multiple layers, spatial indexes, and advanced geometries. Modern web-friendly spatial format. | ~18.7 MB | Modern GIS, web applications | [Download GeoJSON](https://github.com/amchss/amchss-spatial-data/blob/main/data/tuberculosis_units_kerala.geojson) | | **KML (.kml)** | Keyhole Markup Language for Google Earth, web mapping applications, and GPS devices. Includes styled features and descriptions. | ~11.5 MB | Google Earth, web maps, GPS | [Download KML](https://github.com/amchss/amchss-spatial-data/blob/main/data/tuberculosis_units_kerala.kml) | ::: download-info ### Download Information - **Last Updated:** 02 August 2025 - **Version:** 1.0.0 - **Geometry Type:** Polygon - **Total Records:** 77 spatial features - **Coordinate System:** WGS84 (EPSG:32643) ::: ## Documentation {#documentation} ### Data Dictionary | Field Name | Type | Description | |------------|---------|---------------------------------------| | `fid` | Integer | Feature identifier (1-77) | | `District` | String | District name where the TU is located | | `TU_Name` | String | Tuberculosis Unit name | ## Usage Examples {#examples} ### R (using sf package) ``` r # Load required libraries library(sf) library(tidyverse) # Method 1: Load from RDS file tu_sf <- read_rds("tuberculosis_units_kerala.rds") # Method 2: Load from other formats tu_sf <- st_read("tuberculosis_units_kerala.shp") # Data Visualization using the `sf` package # Plot TUs tu_sf |> ggplot() + geom_sf() # Plot TUs by District tu_sf |> ggplot() + geom_sf( aes(fill = District) ) ``` ## Citation and Licensing {#licensing} ### How to Cite When using this data in your research, please cite as: > AMC Data Science Lab. (2025). *Tuberculosis Units - Kerala (v1.0)* \[Dataset\]. Retrieved from https://amchss.github.io/amchss-spatial-data **BibTeX:** ``` bibtex @misc{amchss_spatial_2025, title={{Tuberculosis Units - Kerala (v1.0)}}, author={{AMC Data Science Lab}}, year={2025}, version={1.0}, url={https://amchss.github.io/amchss-spatial-data} } ``` ### License Information This dataset is released under the **MIT License** ------------------------------------------------------------------------ ::: footer-info **Version:** 1.0.0 \| **Contact:** [amchss.sctimst\@gmail.com](mailto:amchss.sctimst@gmail.com) *This website is built with [Quarto](https://quarto.org/) and hosted on [GitHub Pages](https://pages.github.com/). All data and code are open source.* :::