This release is a pre-release and may not be stable for production use.
Estimate flows of people from snapshots using the method of [Akagi2018].
There are two parts to this package
a fake data generator
an estimator
A couple IPython notebooks are included as demonstrations. One of these generates fake data and attempts to recover the underlying parameters. It is most useful for demonstration and testing.
Another is designed to run on real world data. It requires the user to supply additional data: counts of people in New Zealand SA2 regions and properties of those regions. The later information is available from StatsNZ:
We have assumed that the centroid-to-centroid distance separating regions is an appropriate metric. In principle, the user can specify an arbitrary distance measure on the space, allowing distances to be set by actual driving time, non-local travel via airports, or even asymmetry during commutes.
There are still some rough edges and there may be more corner cases to be taken care of.
Installation
A conda environment specification is included. This environment has been testing on Linux and OS X.
conda env create -f environment.yml
conda activate movement
pip install -e .Akagi, T. Nishimura, T. Kurashima, and H. Toda, “A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data,” in Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, Stockholm, Sweden, Jul. 2018, pp. 3293–3300, doi: 10.24963/ijcai.2018/457.
1 maintainer
Metadata
1 maintainer
Release files for flowstock 0.0.1.dev0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| flowstock-0.0.1.dev0.tar.gz | 12.9 kB | Without provenance | Details for flowstock-0.0.1.dev0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| flowstock-0.0.1.dev0-py3-none-any.whl | Python 3 | none | any | Details for flowstock-0.0.1.dev0-py3-none-any.whl |
Total release size: 26.4 kB
Release files / flowstock-0.0.1.dev0.tar.gz
| Download URL | flowstock-0.0.1.dev0.tar.gz |
|---|---|
| Size | 12.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
77286bbd0ea6fd48c016e108701a58109ee8c7961538c236590e7c221983473a
|
|
BLAKE2b-256 checksum How to use checksums |
cfe6a07d3d2c34768ec57c4a0cecc2deca2417899e716525c0b3738f8a038e4e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
|
Release files / flowstock-0.0.1.dev0-py3-none-any.whl
| Download URL | flowstock-0.0.1.dev0-py3-none-any.whl |
|---|---|
| Size | 13.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a22f6380d12e574b4965f351462d05750254470beda3ecb5ee118fb626c2c978
|
|
BLAKE2b-256 checksum How to use checksums |
2ff15352ea4682cb42b23e646999edff9a03e8f4aab279ad1e83e5ba9146d690
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
|
Security for flowstock 0.0.1.dev0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
