In this paper the authors wish to introduce an application of the gravitational model through two concrete examples. In their investigation the gravitational model was transformed to analyze the spatial structure of E...In this paper the authors wish to introduce an application of the gravitational model through two concrete examples. In their investigation the gravitational model was transformed to analyze the spatial structure of Europe, and the impact of accessibility in Hungary. In this analysis not only the size of gravitational forces but their direction can also be measured. Displacements were illustrated by a bi-dimensional regression, which gives a new perspective to the investigation of spatial structure.展开更多
In Hungary a general agricultural census （AC） was carried out in 2000, followed in 2001 by the population and housing census. The two censuses had been designed separately. Originally the Hungarian Central Statistic...In Hungary a general agricultural census （AC） was carried out in 2000, followed in 2001 by the population and housing census. The two censuses had been designed separately. Originally the Hungarian Central Statistical Office （HCSO） did not plan the joint analysis of the data of the two censuses. Following the censuses users and researchers expressed the view that linking the data of the two databases would represent a value-added in the use of the data and the joint utilization of the databases of the two censuses was examined. The databases were matched and the aggregated handling of the information increased the potential for analysing both censuses and allowed further, more sophisticated investigations. By means of the databases of the two censuses, the first opportunity arose for matching the discrete data of the surveys. The precondition of the matching of the data was the conformity of the respective metadata of the two operations. ,,Private holding＂ and ,,dwelling-household＂ were the categories applicable as the smallest unit for the matching. The links between the private holdings and the households could be based on the identity of the persons living in the dwelling. The matching of the data required the use of individual identity codes. With the matching process used a joint database of the agricultural and population censuses was set up providing new approaches for gender disaggregated analysis. By using the linked database, the HCSO issued a series of publications on the households living in agricultural private holdings in the countryside. This presentation describes the method of matching the databases of the two censuses.展开更多
文摘In this paper the authors wish to introduce an application of the gravitational model through two concrete examples. In their investigation the gravitational model was transformed to analyze the spatial structure of Europe, and the impact of accessibility in Hungary. In this analysis not only the size of gravitational forces but their direction can also be measured. Displacements were illustrated by a bi-dimensional regression, which gives a new perspective to the investigation of spatial structure.
文摘In Hungary a general agricultural census （AC） was carried out in 2000, followed in 2001 by the population and housing census. The two censuses had been designed separately. Originally the Hungarian Central Statistical Office （HCSO） did not plan the joint analysis of the data of the two censuses. Following the censuses users and researchers expressed the view that linking the data of the two databases would represent a value-added in the use of the data and the joint utilization of the databases of the two censuses was examined. The databases were matched and the aggregated handling of the information increased the potential for analysing both censuses and allowed further, more sophisticated investigations. By means of the databases of the two censuses, the first opportunity arose for matching the discrete data of the surveys. The precondition of the matching of the data was the conformity of the respective metadata of the two operations. ,,Private holding＂ and ,,dwelling-household＂ were the categories applicable as the smallest unit for the matching. The links between the private holdings and the households could be based on the identity of the persons living in the dwelling. The matching of the data required the use of individual identity codes. With the matching process used a joint database of the agricultural and population censuses was set up providing new approaches for gender disaggregated analysis. By using the linked database, the HCSO issued a series of publications on the households living in agricultural private holdings in the countryside. This presentation describes the method of matching the databases of the two censuses.
