Skip to main content

Landsurface model mesh generation

Project description

Mesher is a novel multi-objective unstructured mesh generation software that allows mesh generation to be generated from an arbitrary number of hydrologically important features while maintaining a variable spatial resolution.

Triangle quality is guaranteed as well as a smooth graduation from small to large triangles. Including these additional features resulted in a better representation of spatial heterogeneity versus classic topography-only mesh generation. The paper describing mesher can be found here

Key points

  • A novel multi-objective unstructured mesh generation software, Mesher

  • Heterogeneity in topography is resolved as well as hydrologically important surface and sub-surface attributes

  • Spatial heterogeneity is better preserved compared to existing mesh generators

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mesher-1.5.2.tar.gz (53.7 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

mesher-1.5.2-cp38-cp38-macosx_10_15_x86_64.whl (283.4 kB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

mesher-1.5.2-cp37-cp37m-macosx_10_15_x86_64.whl (283.4 kB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

File details

Details for the file mesher-1.5.2.tar.gz.

File metadata

  • Download URL: mesher-1.5.2.tar.gz
  • Upload date:
  • Size: 53.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

File hashes

Hashes for mesher-1.5.2.tar.gz
Algorithm Hash digest
SHA256 d312ff9b69874f1a1ce253874a18f442c0d7739d6183d246a78bf3f0a29e3fa5
MD5 3f2d00a8d11a4f8f77ac1ef42a09a5d0
BLAKE2b-256 16d932752e66601236751d98bcd628c04c81b47c198fedd7dc42d6e0fe2b0135

See more details on using hashes here.

File details

Details for the file mesher-1.5.2-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: mesher-1.5.2-cp38-cp38-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 283.4 kB
  • Tags: CPython 3.8, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.9

File hashes

Hashes for mesher-1.5.2-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 72bb58ab63fe6b2fdf24975d98c8fe5da637bd3c79bb75cf653165ea483e3904
MD5 a3944814fefd99daaa6dc10504354fad
BLAKE2b-256 cb9536ba841bc6583b679dd5c835f21bc2eacb21f45afc1585d9a587ebc65e75

See more details on using hashes here.

File details

Details for the file mesher-1.5.2-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: mesher-1.5.2-cp37-cp37m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 283.4 kB
  • Tags: CPython 3.7m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

File hashes

Hashes for mesher-1.5.2-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 a9261bd668bd74f876b56f8929931a0a0ba36e9b427a60e66296da2b80db0322
MD5 65635299c925002c5689c8b0fbed2dd4
BLAKE2b-256 d161270014feb7080ad83be1047070374c3a274a0764865b4bebc33f48238308

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page