j-meek

j-meek's Stars

• forensenellanebbia/geotag2kml

  Creates a Google Earth .KML file from geotagged photos/videos

  Language:Python266

• wallaceEcoMod/maskRangeR

  masking ranges

  Language:HTML33

• wxguillo/machuruku

  Machuruku

  Language:R302

• kkdey/ecostructure

  Clustering and Visualization of species abundance patterns in ecological data

  Language:R62

• ikatyang/emoji-cheat-sheet

  A markdown version emoji cheat sheet

  Language:TypeScript12.3k4.4k

• bbolker/mixedmodels-misc

  miscellaneous materials for mixed models, mostly in R

  Language:HTML14040

• eveskew/plant_rapid_assessment

  Working towards a rapid version of the IUCN extinction risk assessment process

  Language:R2

• gbradburd/spgr

  Language:TeX81

• pangenome/pggb

  the pangenome graph builder

  Language:Shell35738

• vjjan91/conservation-spending

  Code and analysis associated with Ramesh et al., in review, conservation funding does not track drivers of biodiversity loss

  Language:R13

• dereneaton/ipyrad

  Interactive assembly and analysis of RAD-seq data sets

  Language:Jupyter Notebook7239

• eaton-lab/pedmaps

  Language:HTML1

• HCN-Digital-Projects/landgrabu-data

  Source data for the HCN investigation, "Land-Grab Universities"

  8326

• dunovank/jupyter-themes

  Custom Jupyter Notebook Themes

  Language:CSS9.8k1.1k

• giswqs/earthengine-py-notebooks

  A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

  Language:Jupyter Notebook1.4k406

• pmckenz1/smood

  `smood` makes it simple to pull in observational data from GBIF and build species distribution maps. Go explore!

  Language:Jupyter Notebook1

• willgearty/deeptime

  Plotting Tools for Anyone Working in Deep Time

  Language:R837

• programming-for-bio/0-Syllabus

  Syllabus for EEEB 4050

  22

• gbradburd/conStruct

  method for modeling continuous and discrete population genetic structure

  Language:C++3514

• vjjan91/SpatialAnalysisinR

  This repository contains a series of scripts and slides for a workshop on Spatial Analysis in R at SCCS-NY 2019

  Language:R1

• joelnitta/taxastand

  Standardize taxonomy across different data sources

  Language:R19

• cabinetofcuriosity/cabinetofcuriosity_site

  A data science blog on natural history

  Language:CSS22

• dipetkov/eems

  Estimating Effective Migration Surfaces

  Language:HTML10228

• eveskew/stats_eco_evo_spring2019

  Course repository for Columbia University's EEEB UN3005/GR5005 (spring 2019)

  Language:R41

• eaton-lab/History-migration

  Language:Jupyter Notebook1

• programming-for-bio/3-Python-basics

  Language:Jupyter Notebook117