Marc Weber (mhweber)

mhweber

Geek Repo

Company:US Environmental Protection Agency

Location:Corvallis, OR

Home Page:http://mhweber.github.io/

Twitter:@marc_h_weber

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Marc Weber's repositories

gis_in_action_r_spatial

Web pages for GIS in Action R spatial workshop spring 2017 at PSU

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R-Spatial-Tutorials

Tutorial material I've put together for working with spatial data in R

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AccumulationScripts

Accumulation Scripts to allocate landscape data and accumulate

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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.

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bad-data-guide

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

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bookdown-minimal

An absolutely minimal bookdown example

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courses

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

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ejanalysis

Environmental justice analysis tools for R

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example-scripts

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

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ExData_Plotting1

Plotting Assignment 1 for Exploratory Data Analysis

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FedData

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

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geopandas

Python tools for geographic data

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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.

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iale_open_science

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

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LeafletTest

Testing Leaflet

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micromap_shiny

A shiny application for the micromap package

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parallelR

parallel R talk

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PSU_Colloquium

Material for fall colloquium

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quickmapr

An R package for quickly mapping and navigating spatial data

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sf

Simple Features for R

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ShinyDemoAp

Demo Shiny Application

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stars

Spatiotemporal Arrays, Raster and Vector Data Cubes

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Test

Test webpage

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webinars

Code and slides for RStudio webinars

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wordcloud

Building wordcloud in R

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