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Marc Weber 🏃

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I'm a geographer with the US EPA. My research interests include spatial analysis in R and Python, Geographic Information Science (GIS), aquatic ecology, remote sensing, open source science and environmental modeling. I'm an avid trail runner and ultra-runner and love tinkering on house projects and gardening in my spare time.

My latest CV (made with vitae)

Current projects


📚 Projects ⭐ Stars 🍴 Forks 🛎 Issues 📬 Pull requests
USEPA/StreamCatTools Stars Forks Issues Pull Requests
USEPA/StreamCat Stars Forks Issues Pull Requests
USEPA/LakeCat Stars Forks Issues Pull Requests
USEPA/spsurvey Stars Forks Issues Pull Requests

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Marc Weber's Projects

arraytools icon arraytools

Allocation and accumulation tools that utilize open source tools and pure Python for rapid and highly customizable functionality. Originally intended as a workaround for the NHD Plus tool CA3TV2. Repository contains base function library array_tools.py, and a set of example applications.

bad-data-guide icon bad-data-guide

An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.

cheatsheets icon cheatsheets

Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

elevatr icon elevatr

An R package for accessing elevation data

epatada icon epatada

This R package can be used to compile and evaluate Water Quality Portal (WQP) data for samples collected from surface water monitoring sites on streams and lakes. It can be used to create applications that support water quality programs and help states, tribes, and other stakeholders efficiently analyze the data.

esri2open icon esri2open

this repo is an ESRI toolbox and tool(s) that export ESRI Feature Classes to open data formats, CSV, JSON, and GeoJSON

example-scripts icon example-scripts

Example scripts originally derived from Prof. Dana Tomlin's handouts for his course on Geospatial Software Design. Shared with his permission.

feddata icon feddata

Functions to Automate Downloading Geospatial Data Available from Several Federated Data Sources

geemap icon geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets

go icon go

The Open Source Data Science Masters

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

iale_open_science icon iale_open_science

source for IALE Workshop: An Open Science and Reproducible Research Primer for Landscape Ecologists

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