GIS Based Spatialization of Population Data in Meijiang River Basin

2013 ◽  
Vol 295-298 ◽  
pp. 2378-2383 ◽  
Author(s):  
Xiang Gui Zeng ◽  
Ge Ying Lai ◽  
Fa Zhao Yi ◽  
Ling Ling Zhang
Keyword(s):  
Land Use ◽  
Population Density ◽  
River Basin ◽  
Population Distribution ◽  
Population Data ◽  
Fusion Technology ◽  
Processing Technologies ◽  
Source Data ◽  
Density Map ◽  
Main Factors

This paper used GIS spatial analysis and data processing technologies and multi-source data fusion technology to spatialize the population data of Meijiang river basin. Land use was selected as the index factor and the settlements as the indicative factor. Selected terrain, roads and rivers were the main influencing factors and were further classified into several sub-factors. During the simulation, we first calculated the weight indexes of sub-factors on the settlements distribution and then fused the indexes to calculate the weight indexes of the main factors. Second we calculated the weight indexes of settlements on the population distribution. Last we fused the weight indexes of the main factors and the weight indexes of settlements to obtain the population density indexes of whole region and then generated the 100m×100m resolution raster population density map.

Relationship between water quality and macro-scale parameters (land use, erosion, geology, and population density) in the Siminehrood River Basin

2018 ◽  
Vol 639 ◽  
pp. 1588-1600 ◽  
Author(s):  
Farshid Bostanmaneshrad ◽  
Sadegh Partani ◽  
Roohollah Noori ◽  
Hans-Peter Nachtnebel ◽  
Ronny Berndtsson ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Population Density ◽  
River Basin ◽  
Scale Parameters ◽  
Macro Scale

scholarly journals Spatial-temporal variation in land use in a coastal watershed under pressure of population growth

2021 ◽  
Author(s):  
Dafne Duani Pereira da Silva ◽  
Paulo Ricardo Schwingel
Keyword(s):  
Land Use ◽  
Population Growth ◽  
River Basin ◽  
Riparian Forest ◽  
Population Data ◽  
Vegetative Cover ◽  
Rapid Urbanization ◽  
Coastal Watershed ◽  
Assessment Protocol ◽  
Natural Dynamics

ABSTRACT Population progress is one of the main factors affecting the environment, modifying the natural dynamics of ecosystems. The Camboriú River Basin is located on the southern coast of Brazil and is strongly affected by population growth. This paper aimed to verify the space-time variation in the land use of the Camboriú River Basin by identifying changes in occupation and land use between 1986 and 2017. The rapid environmental assessment protocol was applied using the following parameters: bottom substrate, habitat complexity, backwaters quality, stability of banks, vegetative protection, vegetative cover, vegetative quality, and riparian vegetation presence. The changes in occupation and land use show rapid urbanization with a rise of 9% in 1986 to 24% in 2017. In riparian forest, higher altitude regions of the watershed show better results when compared to lower course regions, which are, thus, reflected in the environmental integrity of the stretches of stream studied. As for the behavior of urban occupation in space, it was verified that it did not occur continuously in comparison with the population, data during the studied period.

scholarly journals Detailed Mapping of Urban Land Use Based on Multi-Source Data: A Case Study of Lanzhou

2020 ◽  
Vol 12 (12) ◽  
pp. 1987 ◽  
Author(s):  
Leli Zong ◽  
Sijia He ◽  
Jiting Lian ◽  
Qiang Bie ◽  
Xiaoyun Wang ◽  
...  
Keyword(s):  
Land Use ◽  
Road Network ◽  
Population Distribution ◽  
Land Development ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Classification ◽  
Point Of Interest ◽  
Source Data ◽  
Population Information

Detailed urban land use information is the prerequisite and foundation for implementing urban land policies and urban land development, and is of great importance for solving urban problems, assisting scientific and rational urban planning. The existing results of urban land use mapping have shortcomings in terms of accuracy or recognition scale, and it is difficult to meet the needs of fine urban management and smart city construction. This study aims to explore approaches that mapping urban land use based on multi-source data, to meet the needs of obtaining detailed land use information and, taking Lanzhou as an example, based on the previous study, we proposed a process of urban land use classification based on multi-source data. A combination road network dataset of Gaode and OpenStreetMap (OSM) was synthetically applied to divide urban parcels, while multi-source features using Sentinel-2A images, Sentinel-1A polarization data, night light data, point of interest (POI) data and other data. Simultaneously, a set of comparative experiments were designed to evaluate the contribution and impact of different features. The results showed that: (1) the combination utilization of Gaode and OSM road network could improve the classification results effectively. Specifically, the overall accuracy and kappa coefficient are 83.75% and 0.77 separately for level I and the accuracy of each type reaches more than 70% for level II; (2) the synthetic application of multi-source features is conducive to the improvement of urban land use classification; (3) Internet data, such as point of interest (POI) information and multi-time population information, contribute the most to urban land use mapping. Compared with single-moment population information, the multi-time population distribution makes more contributions to urban land use. The framework developed herein and the results derived therefrom may assist other cities in the detailed mapping and refined management of urban land use.

scholarly journals Land Use Drivers of Population Dynamics in Tasks of Security Management and Risk Assessment

2016 ◽  
Vol 1 (1) ◽  
pp. 18-25 ◽  
Author(s):  
Ivan Kopachevsky ◽  
Yuriy V. Kostyuchenko ◽  
Otto Stoyka
Keyword(s):  
Risk Assessment ◽  
Land Use ◽  
Urban Areas ◽  
Population Distribution ◽  
Population Data ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Data Disaggregation ◽  
Population Vulnerability ◽  
Use Factors

Approach to population data disaggregation in tasks of risk assessment is presented in this paper. The approach is based on analysis of land cover distribution separately in rural and urban areas. Model to analyze a population distribution on regular grid in a study area is proposed. Formal algorithms to estimate disaster losses distributions depending on population distribution, agroecological, socio-economic, and socio-ecological parameters are proposed. Concluding on population vulnerability and losses distribution in depending of land-use factors are proposed.

scholarly journals Population Density and Spatial Patterns of Informal Settlements in Nairobi, Kenya

2020 ◽  
Vol 12 (18) ◽  
pp. 7717 ◽  
Author(s):  
Hang Ren ◽  
Wei Guo ◽  
Zhenke Zhang ◽  
Leonard Musyoka Kisovi ◽  
Priyanko Das
Keyword(s):  
Population Density ◽  
Spatial Patterns ◽  
Population Distribution ◽  
Informal Settlements ◽  
Central Business District ◽  
Population Data ◽  
Poor People ◽  
Expected Benefits ◽  
Business District ◽  
The Cost

The widespread informal settlements in Nairobi have interested many researchers and urban policymakers. Reasonable planning of urban density is the key to sustainable development. By using the spatial population data of 2000, 2010, and 2020, this study aims to explore the changes in population density and spatial patterns of informal settlements in Nairobi. The result of spatial correlation analysis shows that the informal settlements are the centers of population growth and agglomeration and are mostly distributed in the belts of 4 and 8 km from Nairobi’s central business district (CBD). A series of population density models in Nairobi were examined; it showed that the correlation between population density and distance to CBD was positive within a 4 km area, while for areas outside 8 km, they were negatively related. The factors determining population density distribution are also discussed. We argue that where people choose to settle is a decision process between the expected benefits and the cost of living; the informal settlements around the 4-km belt in Nairobi has become the choice for most poor people. This paper ends with suggestions for urban planning and upgrading informal settlements. The findings will increase our understanding of urban population distribution in underdeveloped countries.

scholarly journals Ex-situ population of White-rumped Shama (Copsychus malabaricus): studies of density, distribution and bird keepers in Bengkulu, Sumatra

2020 ◽  
Vol 21 (3) ◽  
Author(s):  
Heri Dwi Putranto ◽  
BIENG BRATA ◽  
YOSSIE YUMIATI
Keyword(s):  
Population Density ◽  
Density Distribution ◽  
Sampling Method ◽  
Negative Binomial ◽  
Population Distribution ◽  
Population Data ◽  
Ex Situ ◽  
Snowball Sampling ◽  
Observation Method ◽  
Density Population

Abstract. Putranto HD, Brata B, Yumiati Y. 2020. Ex-situ population of White-rumped Shama (Copsychus malabaricus): Studies of density, distribution and bird keepers in Bengkulu, Sumatra. Biodiversitas 21: 865-874. Purpose of this research was to estimate number of White-rumped Shama (Copsychus malabaricus) or locally known as murai batu which are kept by Bengkulu's bird keepers, analyze its population density, population distribution, and the profile of bird keepers. Researcher used field observation method by conducting interviews during June-September 2019. Respondents were determined using purposive sampling method and sampling was continued by snowball sampling method. Bird population data were analyzed by using population density formula and population distribution formula, while profile of bird keepers was analyzed descriptively. In 9 sub-districts of Bengkulu City total of 642 birds that are kept by bird keepers in ex-situ habitat, consisting of 434 males and 208 females with sex ratio approximately of 2:1. Population density was 4.23 birds per km2 (2.86 male birds/km2 and 1.37 female birds/km2). Population distribution by a Variance-Mean Ratio formula was 4.8 or VMR > 1. Furthermore, there were 79 keepers consist of 78 male bird keepers (98.7% ) and 1 female keeper (1.27%). Eleven bird keepers (13.9%) were categorized as captive breeders and 68 keepers (86.1%) were categorized as bird hobbyists. In conclusion, density population of ex-situ White-rumped Shama in Bengkulu City was 4.23 birds per km2, and population distribution interpreted as negative binomial distribution. Bird keepers were divided into two groups, captive breeders and bird hobbyists.

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.

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