voronY

voronY's Stars

• JuliaLang/julia

  The Julia Programming Language

  Language:Julia46.6k92824.8k5.6k

• rawpython/remi

  Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet.

  Language:Python3.6k122409407

• spyder-ide/qtpy

  Provides an uniform layer to support PyQt5, PySide2, PyQt6, PySide6 with a single codebase

  Language:Python1k32211153

• MatthewReid854/reliability

  Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/

  Language:Python362214581

• fatiando/harmonica

  Forward modeling, inversion, and processing gravity and magnetic data

  Language:Python2351816574

• zsylvester/meanderpy

  Simple model of meander migration

  Language:Python14816736

• PyTomography/PyTomography

  This repository enables easy and fast medical image reconstruction in Python.

  Language:Python12524326

• nasa/PyTDA

  Python Turbulence Detection Algorithm (PyTDA)

  Language:Jupyter Notebook9019558

• IAGA-VMOD/ppigrf

  Pure Python IGRF (International Geomagnetic Reference Field)

  Language:Python538511

• respec/HSPsquared

  Hydrologic Simulation Program Python (HSPsquared)

  Language:Jupyter Notebook44208717

• rilma/pyHWM14

  Python interface for the Horizontal Wind Model 2014 (HWM14)

  Language:Fortran424414

• marchirschvogel/ambit

  FEniCSx-based cardiovascular multi-physics solver

  Language:Python393810

• fmidev/himan

  Weather parameter post processing tool

  Language:C++29631

• tsutterley/spatial-interpolators

  Python functions to spatially interpolate data over Cartesian and spherical grids

  Language:Python29524

• zsylvester/channelmapper

  workflow for mapping and analyzing meandering channels in satellite imagery

  Language:Jupyter Notebook24605

• nasa/ECOSTRESS-Data-Resources

  How to find, access, and work with ECOSTRESS (ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station) Data.

  Language:Jupyter Notebook22716

• jordanbrook/PyMeso

  An implementation of the linear least squares derivative method for calculating azimuthal shear and an ideal vortex wind field creator.

  Language:Jupyter Notebook14313

• ikotarid/Terminus

  code-hosting for Terminus plugin (QGIS)

  Language:Python121131

• knaidoo29/SHIFT

  Fourier transforms in polar and spherical polar coordinates.

  Language:Python11413

• uba/goes-latlon

  Python script that can be used to generate latitude/longitude coordinates for GOES-16 full-disk extent.

  Language:Python9302

• mr-gabrielrios/goes_sensible_heat_flux

  The objective of this package is to provide an algorithm for calculating the sensible heat flux using GOES satellite data as a base input, processed through Josh Hrisko's models for land surface temperature (LST) and air temperature at a height of 2m from the elevation of the reference location.

  Language:Python7401

• MMoradi-Eng/VCWG

  Language:HTML4311

• shanbhag10/Crime-Predictor-Chicago

  One of the most important questions people ask before moving to a new place or traveling is: Is this locality safe? We answer this question using co-location pattern mining. Our crime predictor gives the possibility of all crimes that can happen given the presence of certain geographical entities and certain crimes in the locality. Given a set of boolean spatial features, the co-location pattern discovery process finds the subsets of features frequently located together. We have used a transaction free approach for this using Haversine distance as a metric for finding proximity neighborhood and measuring all spatial autocorrelations. We also propose an improvement to distance measure approach while calculating R-proximity neighborhood using boundary window. We used distance and participation thresholds for determining the correlation between features and crimes. Our algorithm exploits the anti-monotone property and optimizes the co-location pattern discovery algorithm by prevalence based pruning.

  Language:Python3302

• johannesuhl/local_accuracy

  A set of python scripts for spatially explicit accuracy assessments of binary, gridded geospatial data, e.g., for human settlement data mapping built-up (1) and not built-up (0) areas.

  Language:Python230

• TokyoTechGUC/geogrid-to-tif

  Convert WRF geogrid binary format to GeoTIFF

  Language:Python2100

• BingHanLin/Curvilinear_Grid_FDM

  A simple finite difference solve with curvilinear grid

  Language:Python1100

• ccivit/largest_empty_circle

  Language:Python1201

• mardillu/gps-polygon-smoothers

  Utility functions for smoothing GPS polygons

  Language:Python1300

• sambartusek/tropopause_folding_ozone

  Code to replicate all figures in Bartusek et al., 2023, Geophysical Research Letters, "Higher-resolution tropopause folding accounts for more stratospheric ozone intrusions".

  Language:HTML1200

• xadams/Inspired-by-LobeFinder-InLoFi-

  Python script for automated quantification of individual lobes of dicot leaf cells.

  Language:Python1300