mapclassify 2.8.0-1 source package in Ubuntu

Changelog

mapclassify (2.8.0-1) unstable; urgency=medium

  * New upstream version 2.8.0

 -- Josenilson Ferreira da Silva <email address hidden>  Tue, 06 Aug 2024 22:02:00 -0300

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Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Oracular release universe misc

Builds

Oracular: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
mapclassify_2.8.0-1.dsc 2.8 KiB 6dfc7a7c510b57c431c6d90390a279bcbd0769ef45ef8c57ab7a70f1ec4fc69d
mapclassify_2.8.0.orig.tar.gz 4.4 MiB 4b8510e436333d5a7da0e232b22d4d481ed5c311ad953148fbe3eca515cc7fe2
mapclassify_2.8.0-1.debian.tar.xz 181.4 KiB 3dc17e5400ff41276c3946e26084a07b22f67eb15425519c7b7233af81c7b801

Available diffs

No changes file available.

Binary packages built by this source

python-mapclassify-doc: Classification Schemes for Choropleth Maps (common documentation)

 Library that provides tools for classifying geographic data on maps.
 It allows you to divide a spatial dataset into different classes or
 ranges, making it easier to visualize and analyze this data on maps.
 .
 This library is especially useful for grouping and categorizing geographic
 information, helping to identify patterns and trends in data.
 .
 It supports multiple classification methods such as Jenks Natural Breaks,
 Equal Interval and Quantile, among others, allowing users to choose the
 best approach for their specific analysis. Additionally, the library is
 integrated with other popular geographic data analysis tools, making it
 easy to incorporate their functionality into existing workflows.
 .
 This package contains HTML documentation, incorporates instructions on how
 to install and configure and use this module with mapclassify.

python3-mapclassify: Classification Schemes for Choropleth Maps

 Library that provides tools for classifying geographic data on maps.
 It allows you to divide a spatial dataset into different classes or
 ranges, making it easier to visualize and analyze this data on maps.
 .
 This library is especially useful for grouping and categorizing geographic
 information, helping to identify patterns and trends in data.
 .
 It supports multiple classification methods such as Jenks Natural Breaks,
 Equal Interval and Quantile, among others, allowing users to choose the
 best approach for their specific analysis. Additionally, the library is
 integrated with other popular geographic data analysis tools, making it
 easy to incorporate their functionality into existing workflows.
 .
 This package provides the Python 3.x module