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Ravensteins's Laws of Migration
21
- Influenced cartography (science or practice of drawing maps) and the history of geography
- APHG Areas of use are Population and Migration
Works Cited
"CSISS Classics - Ernest George Ravenstein: The Laws of Migration, 1885." CSISS Classics - Ernest George Ravenstein: The Laws of Migration, 1885. N.p., n.d. Web. 05 Oct. 2014.
"Ernst Georg Ravenstein." - Oi. N.p., n.d. Web. 05 Oct. 2014.
"Ravenstein's Laws." Ravenstein's Laws. N.p., n.d. Web. 06 Oct. 2014.
Ernst Georg Ravenstein
Srengths Weaknesses
- Born in Frankfurt, Germany on Dec, 1834
- Died March, 1913
- At the age of 18, became a pupil to a Dr.August Heinrich
- Studied many forms of geography
- Reasercher who foucoused on migration patterns
- First to recieve the Victorian gold medal of the royal geographical society for geographical research
- It's just a list of explanations or facts
- Not scientific enough
- Isn't generalized enough
- Summarizes trends and patterns found in migration
- Provides factors that will affect the amount and flow of people moving
8 Laws of Migration
- 1)People only migrate short distances
- 2)There is a process of absorption, whereby people immediately surrounding a rapidly growing town move into it and the gaps they leave are filled by migrants from more distant areas, and so on until the attractive force [pull factors] is spent.
- 3)There is a process of dispersion, which is the inverse of absorption
- 4)Each migration flow produces a compensating counter-flow.
- 5)Long-distance migrants go to one of the great centers of commerce and industry.
- 6)Natives of towns are less migratory than those from rural areas.
- 7)Females are more migratory than males.
- 8)Economic factors are the main cause of migration.
Premise
This model is supposed to explain and predict migration patterns within and between nations, He did this by gathering cesus data but wasn't enough, so he used a survey about the birthplaces of people then compared the data he gathered with the people. He based most of his research on a series of predictive statements.
The arrows show us the movement of people.