CPD Beat to Census Block Crosswalk

Chicago Census Block Crosswalks Geographic crosswalks mapping 2020 Census block geography to Chicago Police Department (CPD) beats, police districts, and community areas, enabling spatial interpolation of census data to administrative units. Overview This dataset provides area-weighted crosswalk tables that allow researchers to: Aggregate Census block-level data to CPD police beats Interpolate demographic and socioeconomic variables across geographic boundaries Account for partial overlaps between census and police geographies The crosswalk was generated using areal interpolation methods applied to official boundary shapefiles from the City of Chicago and U.S. Census Bureau. Funding Acknowledgment This research was supported by the National Institutes of Health (NIH) under grant R01MD015064. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Data Description Crosswalk Files File Description Size data/ChiBlocks2020-PoliceBeats_full_crosswalk.csv Blocks → 274 Police Beats (long format) ~3.4 MB data/ChiBlocks2020-PoliceBeats_crosswalk.csv Blocks → Police Beats (wide matrix) ~42 MB data/ChiBlocks2020-PoliceDistricts_full_crosswalk.csv Blocks → 22 Police Districts (long format) ~2.6 MB data/ChiBlocks2020-PoliceDistricts_crosswalk.csv Blocks → Police Districts (wide matrix) ~4.0 MB data/ChiBlocks2020-CommunityAreas_full_crosswalk.csv Blocks → 77 Community Areas (long format) ~3.2 MB data/ChiBlocks2020-CommunityAreas_crosswalk.csv Blocks → Community Areas (wide matrix) ~12.5 MB data/ChiBlocks2020_areas.csv Block areas in square meters ~1.3 MB Shapefiles Folder Description Size geo/ChiBlocks2020/ 2020 Census Blocks clipped to Chicago ~61 MB geo/PoliceBeats/ CPD Police Beat boundaries ~1.3 MB geo/PoliceDistricts/ CPD Police District boundaries ~436 KB geo/CommunityAreas/ Chicago Community Area boundaries ~876 KB Geographic Coverage Source geography: 2020 Census Blocks (TIGER/Line) clipped to Chicago city boundaries Target geographies: CPD Police Beats, Police Districts, and Community Areas Coordinate Reference System: EPSG:6454 (NAD83(2011) / Illinois East) Extent: City of Chicago municipal boundaries See docs/data_dictionary.md for detailed column descriptions. Replication Requirements conda env create -f environment.yml conda activate cpd-census-crosswalk Notebooks The notebooks/ directory contains Jupyter notebooks documenting the crosswalk generation process: prepare_geos.ipynb - Prepares and standardizes input shapefiles census_to_beat_interpolation.ipynb - Demonstrates interpolation workflow validate_interpolation.ipynb - Validates results against CMAP reference data Python Modules spatial_interpolation.py - Core interpolation function spatial_operations.py - Crosswalk generation and spatial utilities Usage Example import pandas as pd from spatial_interpolation import interpolate # Load your census block data census_data = pd.read_csv("your_block_data.csv") # Interpolate population (extensive variable) to police beats variables = {"population": "extensive"} beat_data = interpolate( census_data, variables, source_geo="ChiBlocks2020", target_geo="PoliceBeats" ) Citation If you use this dataset, please cite: Graziul, Christopher, Keller, Drew, & Spencer, Margaret Beale. (2024). CPD Beat to Census Block Crosswalk [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18111458 BibTeX: @dataset{cpd_census_crosswalk_2024, author = {Graziul, Christopher and Keller, Drew and Spencer, Margaret Beale}, title = {{CPD Beat to Census Block Crosswalk}}, year = {2024}, publisher = {Zenodo}, doi = {10.5281/zenodo.18111458}, url = {https://doi.org/10.5281/zenodo.18111458} } License This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). See LICENSE for full terms. You are free to: Share - copy and redistribute the material in any medium or format Adapt - remix, transform, and build upon the material Under the following terms: Attribution - You must give appropriate credit and indicate if changes were made NonCommercial - You may not use the material for commercial purposes Data Sources Census Blocks: U.S. Census Bureau, TIGER/Line Shapefiles, 2020 Police Beats: City of Chicago Data Portal, Boundaries - Police Beats (current) Police Districts: City of Chicago Data Portal, Boundaries - Police Districts (current) Community Areas: City of Chicago Data Portal, Boundaries - Community Areas (current) City Boundary: City of Chicago Data Portal, Boundaries - City Contact Christopher Michael Graziul - [e-mail] Version History v1.0.0 (2024): Initial release# 芝加哥普查区块交叉对照表（Chicago Census Block Crosswalks） ## 数据集概述 本地理交叉对照表可将2020年美国普查区块地理空间映射至芝加哥警察局（Chicago Police Department, CPD）警区、警务辖区与社区区域，实现普查数据向行政单元的空间插值。 本数据集提供基于面积加权的交叉对照表，支持研究人员完成以下操作： 1. 将普查区块级数据汇总至CPD警区； 2. 实现人口与社会经济变量在地理边界间的插值； 3. 处理普查地理与警务地理间的部分重叠情况。 本交叉对照表通过面积插值方法生成，所用原始边界矢量文件（shapefile）来自芝加哥市政府与美国人口普查局。 ## 资助声明 本研究受美国国立卫生研究院（National Institutes of Health, NIH）资助，项目编号R01MD015064。本文内容仅代表作者观点，不代表美国国立卫生研究院的官方立场。 ## 数据说明 ### 交叉对照表文件 | 文件名 | 描述 | 大小 | | ---- | ---- | ---- | | data/ChiBlocks2020-PoliceBeats_full_crosswalk.csv | 区块→274个警区（长格式） | ~3.4 MB | | data/ChiBlocks2020-PoliceBeats_crosswalk.csv | 区块→警区（宽矩阵格式） | ~42 MB | | data/ChiBlocks2020-PoliceDistricts_full_crosswalk.csv | 区块→22个警务辖区（长格式） | ~2.6 MB | | data/ChiBlocks2020-PoliceDistricts_crosswalk.csv | 区块→警务辖区（宽矩阵格式） | ~4.0 MB | | data/ChiBlocks2020-CommunityAreas_full_crosswalk.csv | 区块→77个社区区域（长格式） | ~3.2 MB | | data/ChiBlocks2020-CommunityAreas_crosswalk.csv | 区块→社区区域（宽矩阵格式） | ~12.5 MB | | data/ChiBlocks2020_areas.csv | 区块面积（单位：平方米） | ~1.3 MB | ### 矢量文件文件夹 | 文件夹 | 描述 | 大小 | | ---- | ---- | ---- | | geo/ChiBlocks2020/ | 裁剪至芝加哥市域范围内的2020年普查区块 | ~61 MB | | geo/PoliceBeats/ | CPD警区边界 | ~1.3 MB | | geo/PoliceDistricts/ | CPD警务辖区边界 | ~436 KB | | geo/CommunityAreas/ | 芝加哥社区区域边界 | ~876 KB | ## 地理覆盖范围 - 源地理空间：裁剪至芝加哥市域范围内的2020年美国普查区块（TIGER/Line格式） - 目标地理空间：CPD警区、警务辖区及社区区域 - 坐标参考系统：EPSG:6454（NAD83(2011) / 伊利诺伊东坐标系） - 覆盖范围：芝加哥市政边界 详细字段说明请参阅`docs/data_dictionary.md`文档。 ## 复现方法 ### 环境要求 bash conda env create -f environment.yml conda activate cpd-census-crosswalk ### Jupyter笔记本文档 `notebooks/`目录包含用于记录交叉对照表生成流程的Jupyter笔记本： 1. `prepare_geos.ipynb`：预处理并标准化输入矢量文件 2. `census_to_beat_interpolation.ipynb`：演示插值工作流程 3. `validate_interpolation.ipynb`：基于CMAP参考数据验证插值结果 ### Python模块 1. `spatial_interpolation.py`：核心插值函数 2. `spatial_operations.py`：交叉对照表生成与空间处理工具 ## 使用示例 python import pandas as pd from spatial_interpolation import interpolate # 加载普查区块数据 census_data = pd.read_csv("your_block_data.csv") # 将人口（总量变量）插值至警区 variables = {"population": "extensive"} beat_data = interpolate( census_data, variables, source_geo="ChiBlocks2020", target_geo="PoliceBeats" ) ## 引用说明 若使用本数据集，请引用以下文献： > Graziul, Christopher, Keller, Drew, & Spencer, Margaret Beale. (2024). CPD Beat to Census Block Crosswalk [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18111458 ### BibTeX格式引用 bibtex @dataset{cpd_census_crosswalk_2024, author = {Graziul, Christopher and Keller, Drew and Spencer, Margaret Beale}, title = {{CPD Beat to Census Block Crosswalk}}, year = {2024}, publisher = {Zenodo}, doi = {10.5281/zenodo.18111458}, url = {https://doi.org/10.5281/zenodo.18111458} } ## 许可协议 本作品采用知识共享署名-非商业性使用4.0国际许可协议（CC BY-NC 4.0）进行许可，完整许可条款请参阅`LICENSE`文件。 您可以自由： 1. **复制与分发**：以任何媒介或格式复制、重新分发本材料 2. **改编创作**：对本材料进行改编、修改并基于其创作衍生作品 许可条款要求： 1. **署名**：您必须给予适当的原作者署名，并注明是否对材料进行了修改 2. **非商业性使用**：您不得将本材料用于商业用途 ## 数据来源 1. 普查区块：美国人口普查局，TIGER/Line矢量文件，2020年 2. 警区数据：芝加哥市政府数据门户，《边界-警区（当前版）》 3. 警务辖区数据：芝加哥市政府数据门户，《边界-警务辖区（当前版）》 4. 社区区域数据：芝加哥市政府数据门户，《边界-社区区域（当前版）》 5. 市域边界数据：芝加哥市政府数据门户，《边界-城市》 ## 联系方式 Christopher Michael Graziul - [e-mail] ## 版本历史 v1.0.0 (2024)：初始发布