Measure
|
Definition
|
Source
|
K-Function
|
A function specifying the expected (theoretical) or empirical (average) number of points (retail locations) within a radius d around any single point (retail location) as a function of the radius d from the central point. For a random Poisson process, for example, K increases with the square of d.
|
Ripley (1981)
|
Kulldorff's D
|
A measure of clustering or avoidance that compares the difference in the local density of a set of “cases” (retail outlets of a focal type) to the local density of a set of “controls” (all other retailers).
|
Kulldorff (1998)
|
Mi
|
A normalization of Kulldorff's D statistic that better enables comparisons across retail categories by using the 90% Monte Carlo confidence intervals to scale Kulldorff's D values.
|
This paper
|
Table 4. Pattern Membership Criteria
Pattern
|
Membership Criteria
|
Hyper agglomeration
|
Mi > 1 for all quintiles
|
Local agglomeration
|
Mi > 1 for the first and/or second quintile, but not all five, and no quintiles have Mi < -1
|
Auto mall
|
Mi > 1 for the first and/or second quintile, and Mi < -1 for at least one of the third, fourth, or fifth quintiles
|
Avoidance
|
Mi < -1 for at least one quintile, and Mi is never greater than one.
|
No pattern
|
Default, the criteria for membership is not met for any other pattern.
|
Table 5. Agglomeration Patterns Exhibited by Different Retail Types
Retail Types with Same Nonrandom Spatial Pattern in Vancouver and Calgary
|
Hyper Agglomeration
|
Local Agglomeration
|
Auto Mall Pattern
|
Avoidance
|
Furniture
|
Carpets
|
New Autos
|
Gas Stations
|
Antiques
|
Children’s Clothing
|
Boat Dealers
|
Supermarkets
|
Coffee Shops
|
Clothing
|
|
Health and Diet
|
Art Galleries
|
|
|
Pizza Parlors
|
Smoking Supplies
|
|
|
Liquor, Beer, Wine
|
Used Autos
|
|
|
Pets and Supplies
|
Gift shops
|
|
|
Paint
|
Bookstores
|
|
|
|
Nonrandom Spatial Patterns Unique to Vancouver
|
Hyper Agglomeration
|
Local Agglomeration
|
Auto Mall Pattern
|
Avoidance
|
Cosmetics*
|
Bridal*
|
|
Pubs
|
Women’s Clothing*
|
Delicatessen*
|
|
Ice Cream Parlors
|
Men’s Clothing*
|
Kitchen Cabinets*
|
|
Lumber
|
Shoes*
|
Hearing Supplies*
|
|
|
Jewelry*
|
Auto Parts*
|
|
|
Music CDs & Tapes
|
Sporting Goods
|
|
|
Fabric
|
Bakery
|
|
|
Tailors
|
Meat
|
|
|
|
Opticians
|
|
|
Nonrandom Spatial Patterns Unique to Calgary
|
Hyper Agglomeration
|
Local Agglomeration
|
Auto Mall Pattern
|
Avoidance
|
Bridal*
|
Cosmetics*
|
Housewares
|
Meat
|
Delicatessen*
|
Women’s Clothing*
|
Wedding Supplies
|
Fabric
|
Kitchen Cabinets*
|
Men’s Clothing*
|
Doors
|
Pharmacies
|
Hearing Supplies*
|
Shoes*
|
Lumber
|
Convenience Stores
|
Auto Parts*
|
Jewelry*
|
Pubs
|
Opticians
|
Lumber
|
Tires
|
|
|
|
Glass
|
|
|
*Differ between cities by hyper versus local agglomeration only.
Figure 1. Illustrations of Ripley’s K-Function
Share with your friends: |