scholarly journals Artifact density and population density in settlement pattern research

2021 ◽  
Vol 39 ◽  
pp. 103189
Author(s):  
Scott Ortman ◽  
Zachary Cooper
Keyword(s):  
Population Density ◽  
Settlement Pattern

Population structure in the western Pyrenees: I. Population density, social class composition, and migration, 1850–1915

1979 ◽  
Vol 11 (3) ◽  
pp. 353-362 ◽  
Author(s):  
Andrew Abelson
Keyword(s):  
Population Structure ◽  
Social Class ◽  
Population Density ◽  
Inverse Relationship ◽  
Settlement Pattern ◽  
Seasonal Movement ◽  
Class Composition ◽  
The Social ◽  
And Migration ◽  
Western Pyrenees

SummaryThis paper tests the hypothesis that the inverse relationship between population density and migration distances in pre-industrial Europe results from variation in the social class composition of communities. Data from two pyrenean valleys in Navarre, spain, provide support for the hypothsis. Further effect on mugration distances may result from vatiation in the settlement pattern of communities. Seasonal movement associated with certain occupations seems to be unimportant.

Late Period Settlement of the Middle Klamath River of Northwest California

1975 ◽  
Vol 40 (2Part1) ◽  
pp. 172-179 ◽  
Author(s):  
Joseph L. Chartkoff ◽  
Kerry K. Chartkoff
Keyword(s):  
Environmental Factors ◽  
Population Density ◽  
Settlement Pattern ◽  
High Population ◽  
Anadromous Fish ◽  
Late Period ◽  
High Population Density ◽  
Site Location ◽  
Klamath River ◽  
Fish Resources

A settlement pattern study is made of 160 prehistoric habitation sites along the Klamath river in northwest California to determine what environmental factors regulate site placement and population density. Topographic variables, especially gradient, were found to serve as negative criteria in limiting the possibilities of site location. Differential access to anadromous fish was found to function positively in favoring site placement and high population density. This finding supports Baumhoffs hypothesis that Karok population levels could be accounted for by available fish resources alone (Baumhoff 1963).

scholarly journals Impacts of Population Density for Landuse Assessment in Cengkareng, West Jakarta

2020 ◽  
Vol 5 (2) ◽  
pp. 56-67
Author(s):  
Ratih Fitria Putri ◽  
Aji Wijaya Abadi ◽  
Naufal Fattah Tastian
Keyword(s):  
Economic Development ◽  
Population Density ◽  
Satellite Imagery ◽  
Land Subsidence ◽  
Urban Areas ◽  
Settlement Pattern ◽  
Social Characteristics ◽  
Land Supply ◽  
Landuse Change ◽  
Strategic Location

Economic development in Jakarta has been influencing physical and social characteristics of urban area significantly. For recent years, burgeoning population growth occurs as a result of urban development and contributes to the landuse dynamics in a certain area. Cengkareng, is one of the most developed urban areas in Jakarta and has been experiencing such population and landuse dynamics. Its strategic location has turned this area becomen densely-populated. Increasing population density increase land demand, shapes the settlement pattern, and changes the landuse of the area. A study conducted in Cengkareng District has been done to describe how the population density impacts the landuse features for landuse assessment. The method implemented in this study combines quantitative and qualitative to process statistics and satellite imagery to produce data of population density, landuse change, and settlement pattern of the studied area. The study resulted that Cengkareng has experienced such significant landuse change which is dominantly converted into settlement and offices due to rising of population density. Nucleated settlement pattern has taken more area regarding to increased land need over land supply. It becomes serious problem for Cengkareng such aa slum settlements, flood problems, and land subsidence.   Keywords: Landuse change; Population density; Settlement pattern  

scholarly journals Study of Settlement Pattern in Klaten District, Central Java Province

2004 ◽  
Vol 10 (2) ◽  
Author(s):  
Agus Dwi Martono
Keyword(s):  
Population Density ◽  
Secondary Data ◽  
Distribution Patterns ◽  
Analysis Data ◽  
Settlement Pattern ◽  
General Distribution ◽  
Survey Method ◽  
Physical Factors ◽  
Road Density ◽  
Housing Density

This study is aimed at studying spatial distribution patterns of settlement, inluding their variations and respective influencing facctors. The ultimated objetives to be ahieved are studying variation of dsitribution patterns of settlement, and the contribution of socio-economi facctors to the existing distribution patterns of settlement under varying topographic areas. The study is conducted in Klaten District, covering 401 villages in the district. A survey method is secondary data analysis. Data are analyzed statistically using T test, varians analysis, correlation, and multiple regresion. The research shows that there is no significant differences in distribution patterns of settlement between the Merapi volcanic slope, the lowland, and the hilly zone. Physical factors are not significantly influencing the distribution patterns of settlement in various topographic zone. A neglegible ifference in the index distribution pattern of settlement can be observed. Hilly zone of the district reveals an index of 0.959. lower than those in the volcanis slope (1.035) and in low land (1.058). distribution patterns of settlement in various topographi zone are ditermine by different sets of socio-economic variables. In the volcanic zone two variables i.e. population density and the portion of sawah area are strongly influencing the distribution patterns of settlement. In this zone population density contributes more than the sawh area. Where as in the low land areas housing density dictates the distribution patterns of settlement. Other variables such as population density, road density, and utilities are less significantly influencing settlement patterns in the low land areas. The same relation between settlement pattern and housing density is also obvious in the distribution patterns of settlement in this hill. In general distribution patterns of settlement in the district are ontrolled by housing density, population density and road density. The higher housing densities, the distribution of hamlets are more spread. The same relation applies to population density. The higher road density the more clustered is the distribution patterns of settleent can be observed in the fast growing areas, rather than the opposite. No differences in distribution patterns of settlement can be observed among development unit areas (SWP) in the district. 

Convergence of regional population density in Russia over 120 years

2020 ◽  
pp. 133-158
Author(s):  
K. A. Kholodilin ◽  
Y. I. Yanzhimaeva
Keyword(s):  
Population Density ◽  
Spatial Dependence ◽  
Population Distribution ◽  
Regional Level ◽  
Capital City ◽  
County Level ◽  
Spatial Effects ◽  
Russian Regions ◽  
Regional Population ◽  
Regional Population Density

A relative uniformity of population distribution on the territory of the country is of importance from socio-economic and strategic perspectives. It is especially important in the case of Russia with its densely populated West and underpopulated East. This paper considers changes in population density in Russian regions, which occurred between 1897 and 2017. It explores whether there was convergence in population density and what factors influenced it. For this purpose, it uses the data both at county and regional levels, which are brought to common borders for comparability purposes. Further, the models of unconditional and conditional β-convergence are estimated, taking into account the spatial dependence. The paper concludes that the population density equalization took place in 1897-2017 at the county level and in 1926—1970 at the regional level. In addition, the population density increase is shown to be influenced not only by spatial effects, but also by political and geographical factors such as climate, number of GULAG camps, and the distance from the capital city.

Redistributing the Population: GIS Adds Value to Historical Demography

1996 ◽  
Vol 8 (2) ◽  
pp. 90-104 ◽  
Author(s):  
Janette Lee
Keyword(s):  
Northern Ireland ◽  
Settlement Pattern ◽  
Historical Demography ◽  
Water Bodies ◽  
Choropleth Mapping ◽  
County Antrim ◽  
Gis Software

A model for more accurately representing the distribution of population is currently under development using some of the functionality of the Arc/Info GIS software. Included are factors for settlement pattern, topography and the presence of water bodies. The model is tested on County Antrim in Northern Ireland and the value of traditional choropleth mapping assessed in comparison with the output from the model.

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