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Open Buildings
A dataset of building footprints to support social good applications.
Building footprints are useful for a range of important applications, from population estimation, urban planning and humanitarian response, to environmental and cli |
| summary:
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Open Buildings
A dataset of building footprints to support social good applications.
Building footprints are useful for a range of important applications, from population estimation, urban planning and humanitarian response, to environmental and cli |
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[[28,-26],[28,-25]] |
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thumbnail/thumbnail.png |
| typeKeywords:
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["Data","Service","Map Service","ArcGIS Server"] |
| description:
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Uses of the data
Population mapping
Building footprints are a key ingredient for estimating population density. In areas of rapid change, or where census information is out of date, population estimates are vital for many kinds of planning and statistics.
Humanitarian response
To plan the response to a flood, drought, or other natural disaster, it is useful to be able to assess the number of buildings or households affected. This is also useful for disaster risk reduction, e.g. to estimate the number of buildings in a particular hazard area.
Environmental science
Knowledge of settlement density is useful for understanding human impact on the natural environment. For example, it helps with estimating energy needs and carbon emissions in a certain area, or pressure on protected areas and wildlife due to urbanisation.
Addressing systems
In many areas buildings do not have formal addresses, which can make it difficult for people to access social benefits and economic opportunities. Building footprint data can help with the rollout of digital addressing systems such as Plus Codes.
Vaccination planning
Knowing the density of population and settlements helps to anticipate demand for vaccines and the best locations for facilities. This data is also useful for precision epidemiology, as well as eradication efforts such as mosquito net distribution.
Statistical indicators
Buildings data can be used to help calculate statistical indicators for national planning, such as the numbers of houses in the catchment areas of schools and health centres; mean travel distances to the nearest hospital or forecast of demand for transportation systems. |
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| title:
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Google Building footprints |
| type:
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Map Service |
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| tags:
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["Buildings"] |
| culture:
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en-ZA |
| name:
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Building_footprints |
| guid:
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8A6EE0F4-1B2C-49B2-A4A0-CE34AFC19A9D |
| spatialReference:
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WGS_1984_Web_Mercator_Auxiliary_Sphere |