Releases · healthysustainablecities/global-indicators

04 Jun 09:00

carlhiggs

v4.5.3

76b403f

v4.5.3 Latest

Latest

What's Changed

added in example image used in reports unintentionally omitted by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/444
Corrected error in a particularly part of analysis.R; referred to r.h… by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/445
corrected error in analysis.R that wasn't about r.header (which is a … by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/447

Full Changelog: global-healthy-liveable-cities/global-indicators@v4.5.2...v4.5.3

Contributors

carlhiggs

Assets 2

03 Jun 23:34

carlhiggs

v4.5.2

f706648

v4.5.2

Improved text wrapping to optionally support wrapping on characters instead of words for languages using ideograms (e.g. Chinese and Japanese), so that translated reports are correctly formatted in these languages. (see #433)

Also updated software dependencies and made minor tweaks to UI and Jupter Lab example notebook phrasing.

What's Changed

improved warning message for attempt to generate report for language … by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/432
Enhancements by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/437
added manual override of language validation check when generating re… by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/439
Enhancements by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/440
updated some translation details in report template by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/443

Full Changelog: global-healthy-liveable-cities/global-indicators@v4.5.1...v4.5.2

Contributors

carlhiggs

Assets 2

17 May 06:54

carlhiggs

v4.5.1

cd77cd7

v4.5.1

This release includes support for the new reporting templates for the Global Observatory of Healthy and Sustainable Cities' 1000 Cities Challenge.

Major issues addressed are described in the closed pull request here.

As a result of the reporting template updates, phrases in our reports have changed and translations for existing languages require validation. Additionally, we have added preliminary support for approximately 30 languages at time of writing with more planned, however most of these are also awaiting final validation. Validated translations for languages other than English will be added periodically over the coming weeks and months.

If you are interested in validating translations for the project, or in having support for your language, please let us know through a github issue.

To list the available validated languages for reporting, if using Python within our Dockerised GHSCI software environment, run:

import ghsci
ghsci.get_languages()

What's Changed

Updated GTFS analysis to address stop duplication across modes and provide more informative feed output as per #385 by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/386
Update packages and methods for 2024 by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/384
addressed frequncies.txt misreading, to ensure the copy read by gtfs-lite is used, as per #389 by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/390
merging main branch (with 2024 package updates) into enhancements branch by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/391
Update enhancements 2024 by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/392
Jupyter Lab and Software set up on GitHub adjustments from issue #375 by @dapugacheva in https://github.com/global-healthy-liveable-cities/global-indicators/pull/387
New reports by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/398
Enhancements by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/400
Webapp minor changes and conflicts solved by @rychennn in https://github.com/global-healthy-liveable-cities/global-indicators/pull/403
Update packages and methods for 2024 by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/407
Enhancements by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/426
Merging changes in main (to citation) to enhancements by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/430
Enhancements by @carlhiggs in https://github.com/global-healthy-liveable-cities/global-indicators/pull/429

New Contributors

@dapugacheva made their first contribution in https://github.com/global-healthy-liveable-cities/global-indicators/pull/387
@rychennn made their first contribution in https://github.com/global-healthy-liveable-cities/global-indicators/pull/403

Full Changelog: global-healthy-liveable-cities/global-indicators@4.4.10...v4.5.1

Contributors

carlhiggs, ruoyuch, and dapugacheva

Assets 2

11 Aug 04:47

carlhiggs

4.4.10

93220c8

4.4.10

Adds a new 'interpolate_stop_times' option for GTFS feeds to deal with the possible case of stop_times.txt missing departure times values. If that's the case, analysis of regular service frequencies cannot proceed accurately for that GTFS feed. As per the GTFS reference specification, missing departure or arrival times may be interpolated using the stop sequence start and end times within each trip id.

The new interpolate_stop_times option/function if set fills null arrival and departure values using a linear interpolation according to the provided stop sequence start and end times within each trip_id. This is an approximation based on the available information, and results may still differ from the actual service frequencies at these stops. However, in the absence of further information, a user may judge it as an adequate approximation (using the values implicit in the data itself), in which case it would allow analysis to proceed.