drhammed Goto Github PK

quant_niche_breadth

All codes for simulating species (Gaussian vs Asymmetric Gaussian) and quantifying niche breadth

repo_demo

resources

Inventory of all the educational content that I share on spatial data analytics, geostatistics and machine learning. I hope these resources are helpful, Prof. Michael Pyrcz

rgee

Google Earth Engine for R

rgeoboundaries

R client to geoBoundaries: A Political Administrative Boundaries Dataset -

richness-specialization-code

Code of the GEB paper "Recent global changes have decoupled species richness from specialization patterns in North American birds"

rworkshop2022

Training

rworkshop_2

sdm

Repo for SDM

seecc-workshop

Working efficiently with large datasets - quantifying population change and visualising species occurrence

senlm

senlm r

shapefiles

For all NA shapefiles

sharing_isl_python

An Introduction to Statistical Learning with Applications in PYTHON

ssi_corine

SSI, CSI, corine

stat_thinking

DataCamp data-science courses

statistical-methods-seminar-series

Repository for code shared be presenters in the EFI hosted Statistical Methods Seminar Series

statistical_analysis

styles

Official repository for Citation Style Language (CSL) citation styles.

weighted-least-squares-for-heteroscedasticity-data-in-r

Heteroscedasticity is a major concern in linear regression models which violates the assumption that the model residuals have a constant variance and are uncorrelated.

zonation-core

Computational core for Zonation conservation planning software.