admahood Goto Github PK

admahood.github.io

Adam's Personal Website

advent_of_code

ars_fire

baecv_parallelized

creating a fire history atlas using the USGS BAECV data

cg_biomass

cheatgrass biomass

class-materials

EBIO5460 Data Science for Biological Research Fall 2021

dissertation

My dissertation. Fully done in R Markdown

drake-crp

Examining year effects on CRP treatments

drake-farm

Trying to understand why the plants are different at Drake Farm.

dryland_production_outlook_amid_climate_change

code to make the figures for "Future outlook of dryland crop production systems in the semiarid High Plains amid climate change"

ecological-sems-in-lavaan

Recreating SEM analyses from papers using the R lavaan package

extremes_class

calculating some basic fire history characteristics using extreme value theory

fastest-fires

ff_study

Fire frequency study

fired_optimization

A workflow to optimize the spatial and temporal parameters for fire perimeters created from firedpy

forest_structural_diversity

future_outlook_of_dryland_crop_production

gghmsc

ggplot functions for use with HMSC Joint Species Distribution Models

ggsem

invasion_climate_soil

linked_disturbance

Analysis of disturbance interactions and ecosystem responses in Southern Rockies ecoregion

modeling-human-ignition

These scripts will take large historical time series stacks of daily climate variables for the US and aggregate to monthly. Steps are unpacking NetCDf, aggregate, mask/clip, and save as GeoTiff Edit Add topics

neon-native-exotic

Project to look at contental-scale diversity patterns

neon_plant_examples

Examples and use cases from neonPlants and neonPlantEcology packages

neonplantecology

night_fires_figure_4

Figure 4 in the night fires paper

preevents

seed-bank

six-invasion-questions

This is the data and code for our upcoming paper examining how NEON data can be used in invasion ecology

sparseinteractions

Use techniques developed for sparse linear modeling in a Bayesian framework to fit community ecology models to high diversity data