Using the Getis Statistic to Explore Aggregation Effects in Metropolitan Toronto Census Data
Bibliographic Data
| ID | 8422792 |
|---|---|
| Authors | Carl Amrhein (University of Toronto, corresponding author), HAROLD REYNOLDS (University of Toronto, corresponding author) |
| Year | 1997 |
| Volume | 41 |
| Issue | 2 |
| Pages | 137-149 |
| Publication date | 1997-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Canadian Geographies / Géographies canadiennes (JOURNAL) |
| Journal identifiers | ISSN: 0008-3658 • E-ISSN: 1541-0064 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1541-0064.1997.tb01154.x |
| OpenAlex | W2149869164 |
| Language | EN |
| Citations received | 5 |
| References cited | 6 |
In an earlier paper by the same authors (Amrhein and Reynolds 1996), the variation of the G statistic (Getis 1991; Getis and Ord 1992) was demonstrated to correlate very highly with calculated aggregation effects. In the conclusions to this earlier paper, we called for experiments with different data sets, different aggregation rules, and different definitions of the connectivity matrix. In this paper, we explore the behaviour of census data from enumeration areas of the Toronto Census Metropolitan Area. Experiments are conducted that describe the aggregation effects that creep into the data at different scales, and the effect of the aggregation algorithm on the results. Finally, we test the ability of a modified G statistic, our Getis statistic, to predict aggregation effects
Census · Econometrics · Geography · Metropolitan area · Population · Sociology · Statistic · Statistics · Computer Science · Data-Driven Disease Surveillance · Demography · Human Mobility and Location-Based Analysis · Mathematics · Spatial and Panel Data Analysis
| Unique citing works | 5 |
|---|---|
| Citations per year | 0,19 |
| Citation span | 1999 - 2012 (14) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 5 |