Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 257

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Spatial Entropy

Open access
Batty, Michael·1974·Geographical Analysis
DOI 10.1111/j.1538-4632.1974.tb01014.x
Open this paper in CoChat — free account

Abstract

A major problem in information theory concerns the derivation of a continuous measure of entropy from the discrete measure. Many analysts have shown that Shannon's treatment of this problem is incomplete, but few have gone on to rework his analysis. In this paper, it is suggested that a new measure of discrete entropy which incorporates interval size explicitly is required; such a measure is fundamental to geography and this statistic has been called spatial entropy. The use of the measure is first illustrated by application to one‐and two‐dimensional aggregation problems, and then the implications of this statistic for Wilson's entropy‐maximizing method are traced. Theil's aggregation statistic is reinterpreted in spatial terms, and finally, some heuristics are suggested for the design of real and idealized spatial systems in which entropy is at a maximum.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1538-4632.1974.tb01014.x

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 17 references

Cited by

See all 257

Metadata

Authors
Batty, M.
Venue
Geographical Analysis
Publisher
Wiley
Published
1974-01
Volume
6
Issue
1
Pages
1-31
ISSN
  • 0016-7363 (ISSN-L)
  • 1538-4632
DOI
10.1111/j.1538-4632.1974.tb01014.x
OpenAlex
W3190894976
Cited by
257
References
17
FWCI
26.36
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Spatial Entropy. https://app.cochat.ai/papers/10.1111/j.1538-4632.1974.tb01014.x
The paper
Batty, M. (1974). Spatial Entropy. Geographical Analysis. https://doi.org/10.1111/j.1538-4632.1974.tb01014.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.