v0.2.0

Released on: 2021/04/09

New features:

• Add function to create a layer of prisms and add a new South Africa ETOPO1 dataset (#186)
• Optimize forward models by parallelizing outer loops for prisms and point masses and refactor the tesseroids forward modelling (#205)
• Add parallel flag to EQLs (#207)
• Parallelize EQLs predictions and Jacobian build (#203)
• Improve EQL harmonic classes by splitting classes and adding upward argument to prediction methods (#190)
• Add function to compute the distance between points given in geodetic coordinates (#172)
• Allow load_icgem_gdf to take open file objects (#155)
• Add new EQLHarmonicSpherical class to interpolate data using EQL in spherical coordinates (#136)

Maintenance:

• Extend support for Python 3.9 (#219)
• Separate the Actions jobs into categories (#218)
• Automatically check for license notice when checking code style (#211)
• Use the OSI version of item 3 in the license (#206)
• Add license and copyright notice to every .py file (#201)
• Replace versioneer with setuptools_scm (#196)
• Remove configuration files for unused CI: Stickler, Codacy and CodeClimate (#197)
• Replace TravisCI and Azure for GitHub Actions (#189)
• Fetch a sample data before testing locate because Pooch creates cache directory only after the first fetch (#193)
• Require Black>=20.8b1 (#187)
• Add CI builds for Python 3.8 (#150)
• Replace global Zenodo DOI on badges and citation (#148)
• Remove the GitHub templates from the repository and use the shared ones in fatiando/.github (#149)

Documentation:

• Add example for EQLHarmonicSpherical (#152)
• Replace Cartesian distance for Euclidean distance in docs (#156)

Bug fixes:

• Keep metadata of sample datasets in the Xarray objects (#184)
• Fix infinite loop on CIs after Numba v0.5.0 (#180)

This release contains contributions from:

• Santiago Soler
• Leonardo Uieda
• Nicholas Shea
• Rowan Cockett

v0.1.0

DOI: https://doi.org/10.5281/zenodo.3628742

Fist release of Harmonica. Forward modeling, inversion, and processing
gravity and magnetic data.

Forward models:

• Point masses in Cartesian coordinates. Gravitational potential with vertical (#71) and horizontal components of acceleration (#119).
• Point masses in spherical coordinates. (#60)
• Rectangular prisms. (#86)
• Tesseroids. (#60)

Available datasets:

• Great Britain aeromagnetic dataset. (#111)
• South Africa gravity station data. (#99)
• Geoid grid from EIGEN-6C4. (#34)
• Global topography from ETOPO1. (#23)
• Global gravity data from EIGEN-6C4. (#12)

Other features:

• Synthetic ground and airborne surveys based on real world data. (#120)
• Equivalent Layer for harmonic functions. (#78)
• Planar Bouguer correction. (#38)
• Airy Isostasy function. (#17)
• Function to read ICGEM data files. (#11)

This release contains contributions from:

• Leonardo Uieda
• Santiago Soler
• Vanderlei C Oliveira Jr
• Agustina Pesce
• Nicholas Shea
• ziebam