Compute a crowdedness index on historical GIS data : a case study of Hög Parish, Sweden, 1812-1920
(2015) In Student thesis series INES NGEM01 20141Dept of Physical Geography and Ecosystem Science
- Abstract
- As the development of human civilizations, the classic definition of crowdedness index or population density is not able to describe population dynamic conciliations properly. Furthermore, the detailed population information is normally only stay on urban or country levels. Methods to compute crowdedness index of a small scale-area are lacked. Demographers need some new methods to compute human crowdedness index. In recent years, geographical information techniques have played an important role in historical demography studies. Most researches are based on historical GIS database. The aim of this project is to evaluate current crowdedness indexes and develop new indexes based on historical demographical and geographical data. In this... (More)
- As the development of human civilizations, the classic definition of crowdedness index or population density is not able to describe population dynamic conciliations properly. Furthermore, the detailed population information is normally only stay on urban or country levels. Methods to compute crowdedness index of a small scale-area are lacked. Demographers need some new methods to compute human crowdedness index. In recent years, geographical information techniques have played an important role in historical demography studies. Most researches are based on historical GIS database. The aim of this project is to evaluate current crowdedness indexes and develop new indexes based on historical demographical and geographical data. In this project, two current crowdedness indexes are reviewed in the study area Hög parish. It also develop some new crowdedness index of buildings, two population’s crowdedness indexes, and also two crowdedness indexes of divided property unit in the study area. In addition, all the indexesare evaluated and discussed based one a set of test evaluations. Conclusions are made based on those case studies and evaluations. From the study results and evaluations, a building crowdedness index method is suitable for this case; all of the three population crowdedness index (social interaction index, betweenness centrality and church index) are suitable for this case study; and finally both two property unit population indexes are able to compute results but also need to be developed as well. However, the test analyses are only based on a small study area with limited buildings, populations. Some developed index methods do not provide satisfactory results. For the further study, more cases should be tested and development of every method should be done. (Less)
- Popular Abstract
- Today we know people live in cities towns or as least villages. But have you ever wondered why we live like that? What kind of factors make people live in groups? Are there too many people sharing too small space in our living environments? What about people of the old time? Did they have same over-crowded problems just like we are facing now? There is a new thesis study which helps us to explore the crowded situation during the last centuries of Nordic country Sweden.
When study on old time cases especially cases of several hundred years, the data accuracy is always a big problem. From the data base of Swedish national demographical agency, some population and geographical data could be used. The whole thesis study could be divided... (More) - Today we know people live in cities towns or as least villages. But have you ever wondered why we live like that? What kind of factors make people live in groups? Are there too many people sharing too small space in our living environments? What about people of the old time? Did they have same over-crowded problems just like we are facing now? There is a new thesis study which helps us to explore the crowded situation during the last centuries of Nordic country Sweden.
When study on old time cases especially cases of several hundred years, the data accuracy is always a big problem. From the data base of Swedish national demographical agency, some population and geographical data could be used. The whole thesis study could be divided into three parts:
It focused on buildings distribution firstly by using two methods: DBSCAN clustering method and a so called building crowdedness index method. A set of crowdedness value of each house could be computed based on their locations. For the second part, population crowdedness index of each building will be calculated. The study assumed that we know how many people lives in each house, and then based on buildings position and corresponding urban road network systems, some population crowdedness index value of each building could be computed. For the last part of the study, it analyzed the dynamical property of the study area. The whole study town is divided into 20 small areas which called property. The study developed two new methods based on the combinations of property unit’s populations, building locations, and road network to compute dynamical results of each unit.
We also developed a set of test experiments to ensure the accuracy of the study. Some conclusions are made based on the study results and test experiments. Those new methods are suitable for most cases. They could give us some satisfactory results, but still need to be developed in the future. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/5276815
- author
- Lu, Fei LU
- supervisor
- organization
- course
- NGEM01 20141
- year
- 2015
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- historical GIS, Physical Geography and Ecosystem analysis, GIS, demography, crowdedness index, geomatics
- publication/series
- Student thesis series INES
- report number
- 335
- language
- English
- id
- 5276815
- date added to LUP
- 2015-04-20 15:11:55
- date last changed
- 2015-04-20 15:11:55
@misc{5276815,
abstract = {{As the development of human civilizations, the classic definition of crowdedness index or population density is not able to describe population dynamic conciliations properly. Furthermore, the detailed population information is normally only stay on urban or country levels. Methods to compute crowdedness index of a small scale-area are lacked. Demographers need some new methods to compute human crowdedness index. In recent years, geographical information techniques have played an important role in historical demography studies. Most researches are based on historical GIS database. The aim of this project is to evaluate current crowdedness indexes and develop new indexes based on historical demographical and geographical data. In this project, two current crowdedness indexes are reviewed in the study area Hög parish. It also develop some new crowdedness index of buildings, two population’s crowdedness indexes, and also two crowdedness indexes of divided property unit in the study area. In addition, all the indexesare evaluated and discussed based one a set of test evaluations. Conclusions are made based on those case studies and evaluations. From the study results and evaluations, a building crowdedness index method is suitable for this case; all of the three population crowdedness index (social interaction index, betweenness centrality and church index) are suitable for this case study; and finally both two property unit population indexes are able to compute results but also need to be developed as well. However, the test analyses are only based on a small study area with limited buildings, populations. Some developed index methods do not provide satisfactory results. For the further study, more cases should be tested and development of every method should be done.}},
author = {{Lu, Fei}},
language = {{eng}},
note = {{Student Paper}},
series = {{Student thesis series INES}},
title = {{Compute a crowdedness index on historical GIS data : a case study of Hög Parish, Sweden, 1812-1920}},
year = {{2015}},
}