wangweilin1313

wangweilin1313's Stars

• RushingCorgi/T-SNE

  T-SNE demo in MATLAB

  Language:Matlab2

• rahulvigneswaran/tsne-plotter

  This is Matlab script for plotting 2 Dimensional and 3 Dimensional t-Distributed Stochastic Neighbor Embedding (t-SNE).

  Language:MATLAB82

• johanneskopton/stif

  "Space-Time Interpolation and Forecasting" - Predicting spatio-temporally distributed variables via space-time regression kriging using numpy and numba.

  Language:Python61

• vhakopian/Regression-Kriging

  Implementation of the Regression-Kriging algorithm and application on the Borehole dataset

  Language:Jupyter Notebook1

• mohanasundaram1986/kriging

  regression kriging

  Language:MATLAB2

• tovrstra/nemo

  A regression Kriging code written in Python

  Language:Python103

• ERSSLE/ordinary_kriging

  Ordinary Kriging Interpolation

  Language:Jupyter Notebook92

• JamesSample/ecosystem_services_impacts

  Estimating the impacts of land use and climate change on water-related ecosystem services

  Language:Python31

• n-mcmanus/abandoned-cropland

  Calculate areas of projected cropland abandonment for each SSP. This is done for both Brazil (between the years 2020-2050) and globally (only 2050).

  21

• liumency/CropLand-CD

  A CNN-transformer Network with Multi-scale Context Aggregation for Fine-grained Cropland Change Detection

  Language:Python696

• JudithVerstegen/PLUC_Mozambique

  This is the PCRaster Land Use Change model (PLUC) for Mozambique, aiming to evaluate where bio energy crops can be cultivated without endangering food production. Results are published in Verstegen et al. 2012 and van der Hilst et al. 2012.

  Language:Python63

• yuh2017/LandUseChange

  Language:MATLAB1

• LEAF-BoiseState/janus

  An object-oriented Agent Based Model for land use/land cover change and multisector dynamics

  Language:Python172

• JGCRI/demeter

  A land use land cover disaggregation and change detection model

  Language:HTML2611

• LandInsightLab/MUSE

  MUSE is an urban expansion-oriented open-access land change simulation software built upon cellular automata modeling scheme. It used multiple patch generation engines to emulate the process of urban development, thus scaling up the representation of urban development events from cell to patch level, in line with real-world mechanisms.

  Language:Python9

• Alamanos11/Land_uses_prediction

  A Cellular Automata Markov (CAM) model for land use change prediction using GIS and Python

  Language:Python72

• drunkmoonsb/johanlahtiw

  A land use model based on Cellular Automata and Agent-based modelling.

  1

• LEAMgroup/gluc

  Generalized Land Use Change (gluc) is a probabilistic cellular automata program used by the LEAM system.

  Language:C41

• brenykurien/Suitability-CA

  Suitability based cellular automata model for land use change prediction

  Language:C#32

• zhuang-hao-ming/tensor-ca

  a high performance cellular automata model for multiple land use simulation based on vectorization and GPU

  Language:Python8

• Weiran-Xing/Research-codes

  This repository is used for the paper "A Hybrid Cellular Automata Model Integrated with Deep Learning for Dynamic Spatio-temporal Land Use Change Simulation"

  Language:Python145

• johanlahti/urban-lu-model

  A land use model based on Cellular Automata and Agent-based modelling.

  Language:Python4618

• prestonsorenson/Google_Earth_Engine_PSM

  Predictive Soil Mapping Covariates from Google Earth Engine

  61

• timohouben/sm-module

  Soil moisture module for digital soil moisture mapping.

  Language:Python51

• moienr/SoilNet

  A Spatio-temporal Framework for Soil Property Prediction with Digital Soil Mapping (DSM)

  Language:Jupyter Notebook405

• chinilin/SOC

  Large-scale digital mapping of soil organic carbon content by using machine learning algorithms

  Language:R95

• tonzowonzo/soil-project

  project for soil classification - includes all functions used for image manipulation

  Language:Python217

• felixriese/CNN-SoilTextureClassification

  1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data

  Language:Python5815

• leizhang-geo/CNN-LSTM_for_DSM

  Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables"

  Language:Python5413

• zhuang-hao-ming/winca

  cellular automata (ca) land use change simulation winform application

  Language:C#102