Kate Miller

Summary

Senior Quantitative Ecologist (GS-13) with 20+ years of experience directing ecological monitoring, landscape restoration, and data science modernization across U.S. National parks. Proven leader in developing automated analytics and decision-support tools that inform park planning, conservation policy, and climate resilience efforts across eastern parks. Recognized with multiple national awards for technical innovation, ground-breaking research, and measurable outcomes.

Founding member of the National Park Service Resilient Forest Initiative to increase forest resilience in eastern national parks through landscape-level restoration, information sharing, and innovative science.
Thorough knowledge of and experience sampling forest and wetland ecosystems in the Eastern US.
Extensive experience designing and implementing long-term monitoring programs, developing ecological indicators, and integrating with management.
Advanced statistical skills, including sample design, generalized linear mixed modelling, multivariate statistics, spatial and conditional autoregressive modelling, and machine learning.
Advanced data science skills, including functional programming and iteration, package development, version control and GitHub, automated reporting, data wrangling and manipulation, and data visualization. Fluent in R and HTML/CSS, and experience with SQL, LaTex, and Python.
Extensive experience analyzing complex datasets, including the National Land Cover Database, gridded climate and weather station data, US Forest Service Forest Inventory and Analysis data, and Environmental Protection Agency National Aquatic Resource Survey data. Extensive experience working on and leading interdisciplinary teams for planning, monitoring, and implementation of management actions in national parks.
Adept with GIS and GPS technologies, relational databases, spreadsheets, and word processing.

Dashboards

R training websites

IMD 2022 Scientists Training- Intro to R: Developed Prep for Training and Visualizing Spatial Data.
IMD 2022 Scientists Training- Advanced R: Developed Prep for Training, Data Retrieval, GIS in R, Downloading FIA data, R Markdown, and R Packages.
ACAD R Training Fall 2020: Intro to R training for Acadia NP Resource Management staff.
Forest Crew R Training 2020: Intro to R training for NETN/MIDN forest crew during summer 2020.

Github code repositories

Github profile: KateMMiller
forestMIDN: R package for summarizing and compiling MIDN forest data
forestNETN: R package for summarizing and compiling NETN forest data
forestQAQC: R Markdown reports for weekly QA/QC, QA/QC visit comparisons, and summarizing data from previous visits.
forestTrends: R package for using non-parametric bootstrap to assess temporal linear trends with fixed plot data and for non-parametric power simulations of linear trends.
climateNETN: R package for downloading, summarizing and visualizing monthly climate data for NETN parks by park centroid. See NETN climate summaries: for the latest summaries in NETN parks based on NOAA monthly gridded climate data.
wetlandACAD: R package for summarizing and compiling freshwater wetland data in Acadia National Park
wetlandViz: R shiny app to visualize freshwater wetland data in Acadia National Park. Contact me for a link to the visualizer.
wetlandHTLN: R package for summarizing and compiling freshwater wetland data in Heartland Network, including automating calculation of the Ohio EPA Vegetation Index of Biotic Integrity. See the How-To website for tips on installing and using this package.
waterNETN: R package for importing, querying, summarizing, and visualizing NETN water monitoring data. See the How-To website for tips on installing and using this package.

Other websites/Information

Photo of Kate in Acadia wetland