A 2021 scientific paper evaluated the conformance of spatial planning goals with outcomes for urban compactness, services, and nature conservation in São Paulo State, Brazil. The dataset includes rasterized land use and cover variables derived from Landsat 5 and Landsat 8 satellite imagery classified for 2005 and 2015. It was created using Partial Least Squares Path Modelling to analyze the relationship between 2005-2006 planning strategies and land-use change ten years later.
Use Cases
- Evaluate urban planning efficiency based on urban persistence, axial, infill, and isolate metrics.
- Assess nature conservation outcomes based on forest cover persistence and gain data.
- Model relationships between planning strategies and land-use change using Partial Least Squares Path Modelling.
- Analyze spatial configuration of urban expansion using rasterized land cover classifications.
Strengths
- Data is spatially explicit at a 30-meter resolution raster format.
- Land cover classifications are derived from Landsat satellite imagery for two distinct years (2005 and 2015).
- Analysis evaluates three specific spatial plans: the 2005 Ecological-Economic Zoning and two 2006 municipal master plans.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last updated 2022-01-01 00:00:00; freshness should be verified.
Provenance
- Source
- ENVIDAT
- Collection Method
- Land use and cover data classified from Landsat satellite imagery using Support Vector Machine algorithm; explanatory variables acquired from multiple sources listed in the paper.
- Time Range
- 2005 to 2015
- Geography
- A coastal region in São Paulo State, Brazil.