Dark Mode
Global Historical Built-up Area Estimates
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This database offers an updated and expanded view of the History Database of the Global Environment (HYDE, version 3.3), focusing on estimated urban area over time. It provides an internally consistent combination of updated historical population estimates and various land use categories, specifically detailing built-up area. The information is presented by region or country and measured in square kilometres (km²). This resource allows for long-term analysis of global urbanisation trends, land conversion, and historical demographic shifts.
Columns
- country: The geographic entity (country or region) to which the urban area estimates apply.
- year: The specific time point, ranging from 10,000 BCE up to 2023 CE.
- land use: Identifies the specific measurement provided, which in this file is the Built-up area.
Distribution
The data file, named
urban-area-long-term new.csv, is approximately 713.4 kB in size and contains three columns. The dataset includes 26.8 thousand valid records. The spatial resolution used for the underlying data generation is 5 arc minutes, which equates to approximately 85 km² at the equator. The files generated are generally in the common CSV format.Usage
This dataset is highly valuable for historical geography research, environmental studies, and urban planning simulations. It is ideal for academics and researchers studying long-term human impacts on the environment, modeling population density changes, or investigating the historical rate of land conversion globally. It can also be used in Computer Science and Computer Vision projects requiring deep historical time-series data related to spatial land use.
Coverage
The data spans an extremely long period, beginning in 10,000 BCE and continuing through to 2023 CE. The estimates are provided at the country or regional level. The dataset covers global geography, detailing historical land use for over 213 unique country/region entries.
License
CC0: Public Domain
Who Can Use It
- University Researchers: To study historical ecology and demographic history.
- Data Scientists: To build predictive models for future urban expansion or population growth patterns.
- Programming Specialists: For integrating high-resolution historical spatial data into mapping or visualisation tools.
- Academics: Utilising the data to teach courses related to geography, environmental science, and long-term land-use change.
Dataset Name Suggestions
- Global Historical Built-up Area Estimates
- HYDE 3.3 Long-Term Urban Data
- 12,000 Years of Global Urban Footprints
- Land Use and Population History Database
Attributes
Original Data Source: Global Historical Built-up Area Estimates
QUALITYLoading...