Send the link below via email or IMCopy
Present to your audienceStart remote presentation
- Invited audience members will follow you as you navigate and present
- People invited to a presentation do not need a Prezi account
- This link expires 10 minutes after you close the presentation
- A maximum of 30 users can follow your presentation
- Learn more about this feature in our knowledge base article
Do you really want to delete this prezi?
Neither you, nor the coeditors you shared it with will be able to recover it again.
Make your likes visible on Facebook?
You can change this under Settings & Account at any time.
Distance Decay and Friction of Distance
Transcript of Distance Decay and Friction of Distance
Friction of Distance
by: Chris Davis
Interaction between two locations declines as the distance between them increases
ESRI: "a mathematical representation of the effect of distance on the accessibility of locations and the number of interactions between them, reflecting the notion that demand drops as distance increases.”
What's the point?
Provides a framework to study
Economic or Urban Geography
Genetic diversity in space
Distance Decay provides a theoretical framework to study the effects of distance on interactions
Like: Newton's theory of gravity
Level of interaction between a city and surrounding cities decreases as distance or friction of distance increases
Friction of Distance
Implies a higher cost of interaction that increases the effect of distance.
Nekola and White 1999
Analyzed the similarity of biological communities in spruce-fir forests in North America
Found that trees and woody plants, along with wind-dispersed plants showed less distance decay
Herbaceous, heavy fruited, and less frequent species showed greater distance decay
Reduces the friction of distance through increased technology or communication
Ex) like building a bridge between two islands
Analysis of Prehistoric Trade Economy
Rengert et al 1999
Evaluate an analysis done by Van Koppen and De Keijser
Find that the assumptions made by these authors don't represent the individual variation that exists
High degree of individual variation, indicative of other criminological theories
Kent et al 2006 apply distance decay model to a pattern of killings to develop a predictive model for the offender's residence
Found that indirect-path (Manhattan Distance) metric applied to a negative exponential calibration model