HPSCIL / Mixed_Cell_Cellullar_AutomataLinks
The Mixed-Cell Cellullar Automata (MCCA) provides a new approach to enable more dynamic mixed landuse modeling to move away from the analysis of static patterns. One of the biggest advantages of mixed-cell CA models is the capability of simulating the quantitative and continuous changes of multiple landuse components inside cells.
☆54Updated last year
Alternatives and similar repositories for Mixed_Cell_Cellullar_Automata
Users that are interested in Mixed_Cell_Cellullar_Automata are comparing it to the libraries listed below
Sorting:
- The PLUS model integrates a rule mining framework based on Land Expansion Analysis Strategy (LEAS) and a CA model based on multi-type Ran…☆166Updated last week
- QGIS plugin of geographical detector☆30Updated 2 years ago
- A novel hybrid cellular automata model for LUC simulation, coupling area partitioning and spatiotemporal neighborhood features learning☆21Updated 6 years ago
- ☆50Updated last year
- A scalable implimentation of HANTS for time sereis reconstruction in remote sensing on Google Earth Engine platform☆49Updated last year
- Fast Geographically Weighted Regression (FastGWR)☆58Updated 3 years ago
- ☆35Updated 2 years ago
- Python for GIS and Geoscience - specialist course Doctoral schools of Ghent University☆190Updated 2 months ago
- This repository contains the code used to produce the Global Flood Database and assess changes in population exposed to floods.☆110Updated 4 years ago
- a software package of ComDA☆20Updated 5 years ago
- Mapping wetland hydrological dynamics using Google Earth Engine (GEE)☆58Updated 6 years ago
- SIAC GEE version☆63Updated 5 years ago
- ☆20Updated 6 years ago
- Demo data for G-XGBoost algorithm☆21Updated 9 months ago
- A tool to downscale Landsat Land Surface Temperature to 10 m using Sentinel-2 data in GEE. Attachment for the article in Remote Sensing: …☆62Updated last year
- Landsat Land Surface Temperature (LST) Retrieval – Google Earth Engine (GEE) Implementation☆53Updated 6 years ago
- Projected GDP of China at pixel levels between 2014-2020☆28Updated 2 years ago
- A Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images☆135Updated 2 years ago
- Planetary Pro is a software designed for rapid image export and regional statistics, leveraging remote sensing cloud computing platforms.…☆66Updated 11 months ago
- This repository is a python implementation of the Harmonic ANalysis of Time Series (HANTS) applied to geographic data. The python module …☆53Updated 7 years ago
- Codes for Geographical Convergent Cross Mapping Method, It is designed for to infer causality from spatial cross-sectional data.☆41Updated this week
- A spatio-temporal approach based on Cellular Automata (CA) for simulating the spatial dynamics of open spaces (include urban green space…☆27Updated 9 months ago
- python programming for geospatial data processing, analysis and visualization☆71Updated 5 years ago
- an IDL program aimed at auto-pre-processing imageries taken by GaoFen(GF)1, GF2 and GF6☆29Updated 4 years ago
- Spatiotemporal Weighted Regression☆69Updated 5 months ago
- ☆33Updated 7 years ago
- Kernel vegetation indices and the kernel NDVI☆61Updated 2 years ago
- A new open source and web tool to estimate actual ET based on SEBAL model.☆46Updated 4 years ago
- A game theory approach to measuring spatial effects from machine learning models.☆161Updated 2 weeks ago
- Calculate floodwater depth based on an inundation polygon (e.g. from remote sensing) and a DEM. See: http://csdms.colorado.edu/wiki/Model…☆67Updated last year