Assessing heat vulnerability in Philadelphia using geographically weighted principal component analysis (GWPCA): A geospatial big data-driven approach.
Ehsan ForoutanTao HuFan ZhangHongbo YuPublished in: Int. J. Appl. Earth Obs. Geoinformation (2024)
Keyphrases
- principal component analysis
- big data
- data driven
- dimensionality reduction
- principal components
- low dimensional
- dimension reduction
- covariance matrix
- international workshop
- independent component analysis
- spatial data
- singular value decomposition
- linear discriminant analysis
- distributed data
- face recognition
- face images
- feature extraction
- weighted sum
- geospatial data
- geo spatial
- high dimensional data
- data processing
- high dimensional
- image processing