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Phil Slota's Projects

aospy icon aospy

Python package for automated analysis and management of gridded climate data

arduino icon arduino

Scripts to program Arduino for environmental monitoring

bayesbarug icon bayesbarug

Doing Bayesian statistics in R: Bay Area useR Group November 2013 meetup

bayesianhmm icon bayesianhmm

Bayesian Hidden Markov Model in R using the rstan package.

biwavelet icon biwavelet

R package to conduct univariate and bivariate wavelet analyses

canadahcd icon canadahcd

Access Canadian Historical Climate Data from R

cccharts icon cccharts

An R package for creating data visualizations for a set of climate change indicators

cfdpython icon cfdpython

A sequence of IPython notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

climdown icon climdown

PCIC's Daily Climate Downscaling Library

cropwatr icon cropwatr

Implementation of FAO 56 (similar to CropWat, but with expanded features) in R

curvenumber icon curvenumber

curvenumber: an R package to calculate Base Flow Index and Curve Number for gauged and ungauged river catchments

dataretrieval icon dataretrieval

This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services

diagrammer icon diagrammer

Graph and network visualization using tabular data in R

digitize icon digitize

A R package to extract data from scatterplots

dssrip icon dssrip

R functions to read/write data from HEC-DSS files.

eee icon eee

Efficient Elementary Effects (EEE) for computationally inexpensive identification of noninformative model parameters by sequential screening

eflowstats icon eflowstats

Calculates Hydrologic Indicator stats and fundamental properties of daily streamflow for a given set of data

egret icon egret

An R-package for the analysis of long-term changes in water quality and streamflow, including the water-quality method Weighted Regressions on Time, Discharge, and Season (WRTDS)

explor icon explor

Interfaces for Multivariate Analysis in R

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