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Land-surface phenology during drought in the Murray-Darling Basin
Analysis of land use and cover change using satellite imagery
Data and Code (R scripts) for Teixido et al. Functional biodiversity loss along natural CO2 gradients. Nature Communications
:exclamation: This is a read-only mirror of the CRAN R package repository. telefit — Estimation and Prediction for Remote Effects Spatial Process Models
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series
A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)
HYDrologic Remote sensing Analysis Viewer Application
Some tools for working with LTS in TGRASS
Code to process NDVI time series for the Tibetan Plateau
NetCDF exploration and data extraction
Tigramite is a time series analysis python module for linear and information-theoretic causal inference.
A review of applied time series analysis with R
The influence of time scale on autocorrelation as an early warning indicator of regime shift
Classify Time-series/Sequential data using Neural Nets (Feedforward NN and Recurrent NN) as well as Support Vector Machine (SVM)
Trend Analysis and Seasonal Variation of Temperatures using Time-Series Methods. We would predict the average monthly temperatures for the chosen city (or country) in the last decade by using the city & country level data over the previous 150 years. The difference between the predicted average monthly temperatures and the actuals would give us the residuals. A trend analysis of the residuals would help us identify the rise in temperatures and find the effect of Global Warming in Chicago
TimeSync+ is an application for gathering point and polygon spectral temporal information from Landsat time series data into a database.
Implementation of TimeSync (Cohen et al., 2010) in R for calibration/validation of Landsat time series based change detection methods.
A toolkit for working with time series in R
R package for thematic maps
Tripartite Microbial-Environment Network Analysis
Study of plant functional diversity looking at traits of seedlings that emerged and survived on restoration sites. Based on myPHD project on Banksia ecosystem restoraiton with use of topsoil transfer techinique.
Toward Optimal Fingerprinting in Detection and Attribution of Changes in Climate Extremes, by Zhuo Wang, Yujing Jiang, Hui Wan, Jun Yan, Xuebin Zhang
Tibetan Plateau Phenology research
Tree Ring Analysis of Disturbance Events in R
:exclamation: This is a read-only mirror of the CRAN R package repository. TRADER — Tree Ring Analysis of Disturbance Events in R. Homepage: https://github.com/pavel-fibich/TRADER
R functions for trait analysis of ecological communities
Resistance of plant–plant networks to biodiversity loss and secondary extinctions following simulated environmental changes
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.