scholarly journals Fast Identification of Urban Sprawl Based on K-Means Clustering with Population Density and Local Spatial Entropy

2018 ◽  
Vol 10 (8) ◽  
pp. 2683 ◽  
Author(s):  
Lingbo Liu ◽  
Zhenghong Peng ◽  
Hao Wu ◽  
Hongzan Jiao ◽  
Yang Yu ◽  
...  
Keyword(s):  
Population Density ◽  
Urban Sprawl ◽  
Population Data ◽  
Entropy Method ◽  
Mobile Phone Data ◽  
Source Population ◽  
Entropy Model ◽  
Spatial Homogeneity ◽  
Open Population ◽  
Spatial Entropy

As urban sprawl is proven to jeopardize the sustainability system of cities, the identification of urban sprawl is essential for urban studies. Compared with previous related studies which tend to utilize more and more complicated variables to recognize urban sprawl while still retaining an element of uncertainty, this paper instead proposes a simplified model to identify urban sprawl patterns. This is a working theory which is based on a diagram interpretation of the classic urban spatial structure patterns of the Chicago School. The method used in our study is K-means clustering with gridded population density and local spatial entropy. The results and comparison with open population data and mobile phone data verify the assumption and furthermore indicate that the accuracy of source population data will limit the precision of output identification. This article concludes that urban sprawl is mainly dominated by population and surrounding unevenness. Moreover, the Floating Catchment Area (FCA) local spatial entropy method presented in this research brings about an integration of Shannon entropy, Tobler’s first law of geography and the Moore neighborhood, improving the spatial homogeneity and locality of Batty’s Spatial Entropy model which can only be used in a general scope.

A gravity-spatial entropy model for the measurement of urban sprawl

2015 ◽  
Vol 59 (1) ◽  
pp. 207-213 ◽  
Author(s):  
JiHong Li ◽  
RongXu Qiu ◽  
Le Xiong ◽  
JiaDong Xu
Keyword(s):  
Urban Sprawl ◽  
Entropy Model ◽  
Spatial Entropy

scholarly journals Faecal contamination in groundwater and its association with population density: a study in coastal areas of Semarang

2020 ◽  
Vol 202 ◽  
pp. 12020
Author(s):  
Dina Rahayuning Pangestuti ◽  
Thomas Triadi Putranto ◽  
Novie Susanto
Keyword(s):  
Population Density ◽  
Coastal Area ◽  
Population Data ◽  
Water Source ◽  
Septic Tank ◽  
Source Population ◽  
Faecal Contamination ◽  
E Coli ◽  
Groundwater Samples ◽  
Hydrogeological Mapping

Increased population density causes the supply of clean water to be unable to meet the requirements. The coastal area of Semarang is also faced with a tidal problem. While good sanitation is a top priority in improving health, nutrition and productivity (6th SDG target), the cause of water borne disease must be considered. This research was conducted in May 2019 at 30 points in the coastal area of Semarang, covering 9 sub-districts. Assessment of microbiology is carried out on coliform parameters and the presence of Eschericia coli. Data on septic tank type, depth, distance of the septic tank to the sample points and drainage frequency were collected. Population data are based on data from BPS. Hydrogeological mapping was used to describe the distribution of faecal contamination and other factors. Around 73.3% of the groundwater samples exceeded the coliform parameter limit and 86.7% of the samples were found to have E. coli. Only 37.5% of the septic tank is cemented and 66.7% with a safe distance from the water source. Population density was not significantly related to poor groundwater quality, because even though the area is less densely populated, E. coli is found positive in ground water.

scholarly journals ASSESSMENT OF URBAN SPRAWL USING SHANNON’S ENTROPY AND FRACTAL ANALYSIS: A CASE STUDY OF ATAKUM, ILKADIM AND CANIK (SAMSUN, TURKEY)

2017 ◽  
Vol 25 (3) ◽  
pp. 264-276 ◽  
Author(s):  
Derya OZTURK
Keyword(s):  
Urban Sprawl ◽  
Fractal Analysis ◽  
Urban Form ◽  
Entropy Method ◽  
Shannon’S Entropy ◽  
Analysis Method ◽  
Maximum Likelihood Classification ◽  
Shannon's Entropy ◽  
Box Counting

Urban sprawl is one of the most important problems in urban development due to its negative environmental and societal impacts. Therefore, the spatial pattern of urban growth should be accurately analyzed and well understood for effective urban planning. This paper focuses on urban sprawl analysis in the Atakum, Ilkadim and Canik districts of Samsun, Turkey. In this study, urban sprawl was examined over a period of 24 years using Shannon's entropy and fractal analysis based on remote sensing and Geographic Information System (GIS). The built-up areas in 1989, 2000 and 2013 were extracted from Landsat TM/ETM+/OLI images using the maximum likelihood classification method, and urban form changes in the 1989–2013 period were investigated. The Shannon's entropy method was used to determine the degree of urban sprawl, and a fractal analysis method based on box counting was used to characterize the urban sprawl. The results show that Atakum, Ilkadim and Canik experienced important changes and have considerable sprawl and complex characteristics now. The study also revealed that there is no monotonic relationship between Shannon's entropy and fractal dimension.

scholarly journals Self-Reinforcing Processes Governing Urban Sprawl in Belgium: Evidence over Six Decades

2020 ◽  
Vol 12 (10) ◽  
pp. 4097 ◽  
Author(s):  
Ahmed Mustafa ◽  
Jacques Teller
Keyword(s):  
Linear Regression ◽  
Population Density ◽  
Urban Sprawl ◽  
Urban Dispersion ◽  
Dispersion Degree ◽  
Dispersion Patterns ◽  
Study Country ◽  
Per Capita ◽  
Different Levels ◽  
Over Time

Urban sprawl is widely acknowledged as an environmental and socio-economic challenge worldwide. This study examines urban sprawl in Belgium over six decades from 1950 to 2010. We assume that sprawl is a self-reinforcing process, i.e., sprawl is fueling further sprawl over time. The main objective of this study is to examine this assumption. We measure urban sprawl at four different levels in this study: country, regions, municipalities, and 1-km2 cells. Three sprawl indices are employed: the degree of urban dispersion, degree of urban permeation of the landscape, and built-up land uptake per capita. These three indices consider both the growth of built-up areas and population density to measure the magnitude of sprawl. The drivers of urban sprawl have been analyzed at a 1-km2 level. The examined drivers are previous urban dispersion patterns, distance to urban cores, elevation, and slope degree by means of linear regression. Urban sprawl significantly increased between 1950 and 1980, whereas its increase was more moderate between 1980 and 2010. Urban dispersion and permeation strongly affect the Brussels and Flanders regions. The results show that the increase in the degree of dispersion is locally driven by previous values of dispersion; i.e., it provides an adequate milieu for further dispersion. Therefore, our conclusion is that urban sprawl in Belgium tends to be a self-reinforcing process.

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.

scholarly journals Freezer anthropology: new uses for old blood

1999 ◽  
Vol 354 (1379) ◽  
pp. 121-129 ◽  
Author(s):  
D. Andrew Merriwether
Keyword(s):  
New World ◽  
Population Data ◽  
Source Population ◽  
Genetic Studies ◽  
Single Wave ◽  
Blood Samples ◽  
Recent Immigrants ◽  
Founding Population ◽  
Large Numbers ◽  
The Pacific

Archived blood fractions (plasma, settled red cells, white cells) have proved to be a rich and valuable source of DNA for human genetic studies. Large numbers of such samples were collected between 1960 and the present for protein and blood group studies, many of which are languishing in freezers or have already been discarded. More are discarded each year because the usefulness of these samples is not widely understood. Data from DNA derived from 10–35–year–old blood samples have been used to address the peopling of the New World and of the Pacific. Mitochondrial DNA haplotypes from studies using this source DNA support a single wave of migration into the New World (or a single source population for the New World) and that Mongolia was the likely source of the founding population. Data from Melanesia have shown that Polynesians are recent immigrants into the Pacific and did not arise from Melanesia.

scholarly journals Resembling Population Density Distribution with Massive Mobile Phone Data

2018 ◽  
Vol 17 ◽  
Author(s):  
Teerayut Horanont ◽  
Thananut Phiboonbanakit ◽  
Santi Phithakkitnukoon
Keyword(s):  
Population Density ◽  
Density Distribution ◽  
Mobile Phone ◽  
Mobile Phone Data

A modified spatial entropy for urban sprawl assessment

2019 ◽  
pp. 1-16
Author(s):  
Davoud Parvinnezhad ◽  
Mahmoud Reza Delavar ◽  
Christophe Claramunt ◽  
Bryan C. Pijanowski
Keyword(s):  
Urban Sprawl ◽  
Spatial Entropy
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