This initiative aims to collect foundational geospatial datasets that document the basic structure and function of major cities in the Big Ten Academic Alliance (BTAA) region. These core urban layers form a modern counterpart to historical resources like Sanborn Fire Insurance maps. The collection will be made up of temporal snapshots that can support research, planning, and preservation long into the future.
We will collect six foundational geospatial layers:
Address points
Building footprints
City boundaries
Parks
Streets
Zoning districts
Primary target: 2025 datasets (to be collected and processed by end of 2025)
Secondary targets: Earlier versions in five-year increments (2020, 2015, 2010, 2005, 2000)
Other years: Included opportunistically, but not prioritized
Our initial scope includes the largest cities in each state of the BTAA region:
Baltimore
Chicago
Columbus
Des Moines
Detroit
Indianapolis
Milwaukee
Minneapolis
Newark
Omaha
Philadelphia
Portland
Seattle
Builds on the legacy of historical fire insurance maps, which are the most accessed type of resource in our geoportal by a wide margin
Captures foundational layers that support research in housing, planning, transportation, and environmental change
City-produced data is often high resolution and less likely to be aggregated elsewhere
Cities tend to have stronger civic engagement and open data policies, leading to better coverage of core layers
Smaller geographic scope makes it easier to start and manage curation efforts
Scoped initially as a one-time project (“2025 Urban Snapshot”), providing a clear and achievable milestone
Helps preserve ephemeral data that may be lost due to platform changes or lack of archiving
Creates a reusable framework for both retrospective (e.g., 2020, 2015) and future (e.g., 2030) comparison
Most of these datasets are publicly available through municipal ArcGIS Hubs. However, our preferred approach is to obtain data directly from city data providers whenever possible.
Timeouts or failed downloads for large datasets
Exported files often lack embedded metadata
Shapefile limitations (e.g., field truncation) and reprojection may lead to data loss
Contact city GIS staff for original-format datasets and metadata
Review datasets for completeness and structural integrity
Clip datasets to city boundaries and normalize attributes when needed
Document using standardized metadata fields
Archive in AWS
Index in the BTAA geoportal