Pinned Repositories
ExploringCrimeForecastPerformance_STARMA_ARIMA
Geoprivacy
Geographical Masking methods. Applicable to discrete confidential-private-sensitive geodata.
Multidimensional-Spatio-Temporal-Clustering
This repository offers the Python implementation of two clustering methods.
Point-based_Areal_Interpolation
Performs areal interpolation/ spatial disaggregation with point data (0-D) as ancillary information. It has been used to create ambient population models.
Regionalized-Random-Forest
spatial_feature_incorporation
Thesis
Code for thesis "Incorporating spatial autocorrelation in machine learning"
trip_purpose_privacy
Understanding the predictability of activity purposes
okounadi's Repositories
okounadi/Geoprivacy
Geographical Masking methods. Applicable to discrete confidential-private-sensitive geodata.
okounadi/Regionalized-Random-Forest
okounadi/ExploringCrimeForecastPerformance_STARMA_ARIMA
okounadi/Multidimensional-Spatio-Temporal-Clustering
This repository offers the Python implementation of two clustering methods.
okounadi/Point-based_Areal_Interpolation
Performs areal interpolation/ spatial disaggregation with point data (0-D) as ancillary information. It has been used to create ambient population models.
okounadi/spatial_feature_incorporation
okounadi/Thesis
Code for thesis "Incorporating spatial autocorrelation in machine learning"
okounadi/trip_purpose_privacy
Understanding the predictability of activity purposes