Which Birds of a Feather Flock Together? Clustering and Avoidance Patterns of Similar Retail Outlets geographical analysis (Forthcoming)



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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




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