HPSCIL / Open-Space-Cellular_AutomataLinks
A spatio-temporal approach based on Cellular Automata (CA) for simulating the spatial dynamics of open spaces (include urban green spaces, parks, squares, trails, courtyards, and other natural spaces), by considering a set of spatial data that represents the infrastructural and socio-economic factors, namely the OS-CA (Open Space Cellular Autom…
☆27Updated 4 months ago
Alternatives and similar repositories for Open-Space-Cellular_Automata
Users that are interested in Open-Space-Cellular_Automata are comparing it to the libraries listed below
Sorting:
- A novel hybrid cellular automata model for LUC simulation, coupling area partitioning and spatiotemporal neighborhood features learning☆21Updated 5 years ago
- The Mixed-Cell Cellullar Automata (MCCA) provides a new approach to enable more dynamic mixed landuse modeling to move away from the anal…☆53Updated last year
- A land use model based on Cellular Automata and Agent-based modelling.☆47Updated 8 years ago
- The PLUS model integrates a rule mining framework based on Land Expansion Analysis Strategy (LEAS) and a CA model based on multi-type Ran…☆152Updated 3 weeks ago
- QGIS plugin of geographical detector☆29Updated last year
- Fast Geographically Weighted Regression (FastGWR)☆56Updated 3 years ago
- Geographically weighted Random Forest Classification (code repository of PLOS ONE publication)☆28Updated last year
- Course materials for big data and urban computing (2020 fall semester).☆43Updated 4 years ago
- STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity☆36Updated 10 months ago
- ☆47Updated 11 months ago
- python programming for geospatial data processing, analysis and visualization☆65Updated 4 years ago
- ☆12Updated 7 months ago
- This is the repository of GeoSOS for ArcGIS, running as an add-in in ArcGIS desktop software ArcMap, provides spatial simulation and opti…☆30Updated 2 years ago
- An improved Python Geographical Random Forest model☆21Updated 4 months ago
- Mapping wetland hydrological dynamics using Google Earth Engine (GEE)☆57Updated 5 years ago
- Spatial Statistics and Machine Learning Offered at FSU Geography☆14Updated 2 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: …☆53Updated 11 months ago
- 城市空间数据分析初学者学习笔记☆32Updated 11 months ago
- Projected GDP of China at pixel levels between 2014-2020☆26Updated 2 years ago
- Python在GIS中的应用实例,内容比较基础。☆29Updated 5 years ago
- Python package to calculate 2SFCA and other measures of spatial accessibility☆42Updated 5 years ago
- Example notebooks of the PyLandStats library☆30Updated 2 weeks ago
- Google Earth Engine tutorials☆45Updated 4 years ago
- Google Earth Engine Python API Document☆27Updated 4 years ago
- A game theory approach to measuring spatial effects from machine learning models.☆132Updated 3 weeks ago
- Planetary Pro is a software designed for rapid image export and regional statistics, leveraging remote sensing cloud computing platforms.…☆61Updated 5 months ago
- Geographically Weighted Regression (GWR) in Python☆67Updated 2 years ago
- ☆10Updated last year
- simultaneous extraction of building height and footprint☆60Updated last year
- 🚀 Road network simplification, batch conversion of OSM road multi-lines to single lines 🚀 Detection and export of dead-end roads 🚀 Par…☆51Updated 2 years ago