weecology,Weecology,github

neon-mammal-size

Research on small mammal individual size distributions using NEON data

Utilities and scripts for working with NEON data. Currently: an R package with functions to join (stack) the month-by-site files in downloaded NEON data, to convert data to geoCSV format, and to download data from the API.

neon_crown_maps

Generating tree crown maps for NEON sites

neon_itc_mapping_extraction-1

Project to automate NEON image preparation for field mapping of Individual Tree Crowns and post-mapping data extraction for ITCs

neonetods

Data and associated tools for the NEON Existing Terrestrial Organism Data Survey

neonspeciesbenchmark

A tree species classification benchmark for the National Ecological Observatory Network

neontreeevaluation

Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery

neontreeevaluation_analysis

This is the companion repo that presents analysis for methods tested on the NeonTreeEvaluation benchmark repo

neontreeevaluation_package

R package for evaluating individual tree crown predictions against a diverse benchmark dataset

neontreeevaluation_python

python benchmark for individual tree crown methods

neonvegwrangler

Integrating NEON vegetation structure (vst) and Airborne Observation Platform (AOP) data

neonwranglerpy

nist-neon-dse.github.io

partitions

python based code for integer partitioning

plant-flip

Analyses of plant responses to Portal treatment flip

plant_flip

plant flip analyses

plsrglm

:exclamation: This is a read-only mirror of the CRAN R package repository. plsRglm — Partial Least Squares Regression for Generalized Linear Models. Homepage: http://www-irma.u-strasbg.fr/~fbertran/

portal

Code for analyzing the Portal Project Databases

portal-climate-projections

portal-data-workflow

Repo for the paper outlining the data workflow for Portal

portal-experimental-macroeco

Code for reproducing the results from "An experimental test of the response of macroecological patterns to altered species interactions" by Sarah Supp et al. 2013 publishe in Ecology