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James L. McCreight, Ph.D.

Hi there! 👋

I'm a research hydrologist and software engineer working USGS Enterprise Capacity (modeling system).

My interests are at the junction of physical and statistical hydrology.

My scholar profile.

James McCreight's Projects

analysis icon analysis

Storage for any COVID data analysis and visualization

atlas icon atlas

A library for numerical weather prediction and climate modelling

biwavelet icon biwavelet

R package to conduct univariate and bivariate wavelet analyses

climt icon climt

The official home of climt, a Python based climate modelling toolkit.

dart icon dart

Data Assimilation Research Testbed

deepdiff icon deepdiff

Deep Difference and search of any Python object/data.

earthshot icon earthshot

Earthshot Lab's central python package and repository

flopy icon flopy

A Python package to create, run, and post-process MODFLOW-based models.

ford icon ford

Automatically generates FORtran Documentation from comments within the code.

gages2 icon gages2

Gages-II attributes in netcdf (no geom)

gcc icon gcc

Docker Official Image packaging for gcc

geoviews icon geoviews

Simple, concise geographical visualization in Python

ggmap icon ggmap

a package for plotting maps in R with ggplot2

ggplot2 icon ggplot2

An implementation of the Grammar of Graphics in R

holoviews icon holoviews

With Holoviews, your data visualizes itself

hrldas-release icon hrldas-release

HRLDAS (High Resolution Land Data Assimilation System) containing the Noah-MP Land Surface Model

hydrofunctions icon hydrofunctions

A suite of convenience functions for working with hydrology data in an interactive Python session.

hydrome icon hydrome

UX/UI for hydro process flow and related

intro_programming icon intro_programming

A set of IPython notebooks and learning resources for an Introduction to Programming class, focusing on Python.

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lisf icon lisf

Land Information System Framework

metplus icon metplus

Python scripting infrastructure for MET tools.

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