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Hello world! šŸ‘‹

  • Hi, I'm Skip Woolley I work on statistical and mathematical ecological problems.
  • šŸ”­ Iā€™m currently working on point processes and mutliple species statistical models.
  • šŸŒ± Iā€™m currently learning about multiclass gaussian processes.

Skip Woolley's Projects

artists icon artists

Colour palettes based on famous artwork

aus-ppms icon aus-ppms

Biodiversity models & predictions (SDMs) using PPMs for Australia under land use change

bbgdm icon bbgdm

bbgdm: Assess uncertainty in Generalised Dissimilarity Models via a Bayesian bootstrap

cesarcloud icon cesarcloud

Automation of creating and configuring AWS instances

ctmcdive icon ctmcdive

R package to fit continuous-time Markov chain to dive data

ecomix icon ecomix

ecomix is a package to implement model based species level (Species Archetype Models) or site level (Regions of Common Profile) grouping of community data.

elasticluster icon elasticluster

Create clusters of VMs on the cloud and configure them with Ansible.

flor icon flor

Wrapper R package to implement circuit theory-based connectivity for dynamic meta-population models

flutes icon flutes

Fractional Land Use Transitions in Ecological Systems

geostuff icon geostuff

My R package for using gdal and ocm libraries in R. It's a moving feast.

greta icon greta

simple and scalable statistical modelling in R

landshark icon landshark

Large-scale spatial inference with Tensorflow.

landusehmm icon landusehmm

Developmental repo for a landuse hidden markov model

msodm_code icon msodm_code

Code used to build multi-species occupancy detection models in JAGS

nbglm icon nbglm

A version of a negative binomial glm - handy for ecomix package and other uses

ppmdata icon ppmdata

quasi-random quadrature scheme generation for Poisson point process modelling

ppmfit icon ppmfit

A package to fit ppms using the ppmData package and objects - potentially merge down the track.

ppmlasso icon ppmlasso

:exclamation:Ā ThisĀ isĀ aĀ read-onlyĀ mirrorĀ ofĀ theĀ CRANĀ RĀ packageĀ repository. ppmlassoĀ ā€”Ā PointĀ ProcessĀ ModelsĀ withĀ LASSOĀ Penalties

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