pith:LXKUDFFL
huff: A Python package for Market Area Analysis
The huff Python package supplies a full workflow for market area analysis with the Huff model.
arxiv:2602.17640 v4 · 2026-02-19 · stat.AP · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LXKUDFFL64KPI2SUZGHIGYH4W5}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
The huff Python package provides a complete workflow for market area analysis, including data import, construction of origin-destination interaction matrices, basic model analysis, parameter estimation from empirical data, calculation of distance or travel time indicators, and map visualization.
That the package correctly implements the Huff model and extensions without bugs and that users' data satisfy the model's assumptions for parameter estimation.
The huff package supplies a modular Python workflow for market area modeling, data handling, parameter fitting, and accessibility analysis using the Huff model and extensions.
Formal links
Receipt and verification
| First computed | 2026-06-09T01:05:14.735457Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5dd54194abf714f46a54c98e8360fcb764c1eb15a99ceb87f2de3617da21f8ec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LXKUDFFL64KPI2SUZGHIGYH4W5 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 5dd54194abf714f46a54c98e8360fcb764c1eb15a99ceb87f2de3617da21f8ec
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "01cf8f541a929b006cb7432fdb9e91feede9ed4bfcd9ebb7981e1fa2924ba96e",
"cross_cats_sorted": [
"cs.SE"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.AP",
"submitted_at": "2026-02-19T18:52:46Z",
"title_canon_sha256": "c046aff256f639ae7ea6fbbee28eef1b17e172a3d47e5a254a8e451c0df798a6"
},
"schema_version": "1.0",
"source": {
"id": "2602.17640",
"kind": "arxiv",
"version": 4
}
}