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TEE Lab's Projects

alt-stable-states-neindia icon alt-stable-states-neindia

Codes for the paper: Sarania, Guttal, Tamma, 2022, The absence of alternative stable states in vegetation cover of northeastern India, Royal Society Open Science.

bhat_guttal_2023_finite_evolution icon bhat_guttal_2023_finite_evolution

Scripts and data accompanying Bhat and Guttal 2023, "Eco-evolutionary dynamics for finite populations from first principles and noise-induced reversal of selection".

coarse-graining icon coarse-graining

The codes in this repository coarse-grain the spatial data and calculate the general EWS

data-driven-mesoscale-sde icon data-driven-mesoscale-sde

Code for the paper: Data-driven discovery of stochastic dynamical equations of collective motion. Nabeel, A., Jadhav, V., Sire, C., Theraulaz, G., Escobedo, R., Iyer, S. K., & Guttal, V. (2023).

demographic-noise icon demographic-noise

script related to the publication: Majumder, S., Das, A., Kushal, A., Sankaran, S., & Guttal, V. (2021). Finite-size effects, demographic noise, and ecosystem dynamics. The European Physical Journal Special Topics, 1-13. https://link.springer.com/article/10.1140/epjs/s11734-021-00184-z

inferring-critical-thresholds icon inferring-critical-thresholds

This repository contains all the codes used for the paper "Inferring critical thresholds of ecosystem transition from spatial data".

mothe icon mothe

An end to end pipeline to track multiple objects against a heterogeneous background with just 5 lines of code

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