scholarly journals Effects of the distant population density on spatial patterns of demographic dynamics

2017 ◽  
Vol 4 (8) ◽  
pp. 170391 ◽  
Author(s):  
Kohei Tamura ◽  
Naoki Masuda
Keyword(s):  
Population Density ◽  
Gravity Model ◽  
Census Data ◽  
Population Census ◽  
Spatial Average ◽  
Empirical Observation ◽  
Societal Factors ◽  
Demographic Dynamics ◽  
A Cell ◽  
Spatio Temporal

Spatio-temporal patterns of population changes within and across countries have various implications. Different geographical, demographic and econo-societal factors seem to contribute to migratory decisions made by individual inhabitants. Focusing on internal (i.e. domestic) migration, we ask whether individuals may take into account the information on the population density in distant locations to make migratory decisions. We analyse population census data in Japan recorded with a high spatial resolution (i.e. cells of size 500×500  m ) for the entirety of the country, and simulate demographic dynamics induced by the gravity model and its variants. We show that, in the census data, the population growth rate in a cell is positively correlated with the population density in nearby cells up to a distance of 20 km as well as that of the focal cell. The ordinary gravity model does not capture this empirical observation. We then show that the empirical observation is better accounted for by extensions of the gravity model such that individuals are assumed to perceive the attractiveness, approximated by the population density, of the source or destination cell of migration as the spatial average over a circle of radius ≈1 km.

scholarly journals The COVID-19 Pandemic Situation in Malaysia: Lessons Learned from the Perspective of Population Density

2021 ◽  
Vol 18 (12) ◽  
pp. 6566
Author(s):  
Siew Bee Aw ◽  
Bor Tsong Teh ◽  
Gabriel Hoh Teck Ling ◽  
Pau Chung Leng ◽  
Weng Howe Chan ◽  
...  
Keyword(s):  
Population Density ◽  
Pearson Correlation ◽  
Strong Relationship ◽  
Lessons Learned ◽  
P Value ◽  
Population Census ◽  
Infection Rates ◽  
Health Official ◽  
Contagious Diseases ◽  
Spatio Temporal

This paper attempts to ascertain the impacts of population density on the spread and severity of COVID-19 in Malaysia. Besides describing the spatio-temporal contagion risk of the virus, ultimately, it seeks to test the hypothesis that higher population density results in exacerbated COVID-19 virulence in the community. The population density of 143 districts in Malaysia, as per data from Malaysia’s 2010 population census, was plotted against cumulative COVID-19 cases and infection rates of COVID-19 cases, which were obtained from Malaysia’s Ministry of Health official website. The data of these three variables were collected between 19 January 2020 and 31 December 2020. Based on the observations, districts that have high population densities and are highly inter-connected with neighbouring districts, whether geographically, socio-economically, or infrastructurally, tend to experience spikes in COVID-19 cases within weeks of each other. Using a parametric approach of the Pearson correlation, population density was found to have a moderately strong relationship to cumulative COVID-19 cases (p-value of 0.000 and R2 of 0.415) and a weak relationship to COVID-19 infection rates (p-value of 0.005 and R2 of 0.047). Consequently, we provide several non-pharmaceutical lessons, including urban planning strategies, as passive containment measures that may better support disease interventions against future contagious diseases.

scholarly journals Urban Growth and Demographic Dynamics in Southern Europe: Toward a New Statistical Approach to Regional Science

2018 ◽  
Vol 10 (8) ◽  
pp. 2765 ◽  
Author(s):  
Mariateresa Ciommi ◽  
Francesco Chelli ◽  
Margherita Carlucci ◽  
Luca Salvati
Keyword(s):  
Population Density ◽  
Urban Expansion ◽  
Population Decline ◽  
Land Use Patterns ◽  
Urban Forms ◽  
Use Patterns ◽  
Demographic Dynamics ◽  
Steep Decline ◽  
Spatio Temporal ◽  
Linear Regression Modeling

Metropolitan growth in Europe has resulted in drastic changes of urban forms, socio-spatial structures and land-use patterns due to sequential processes of urbanization, suburbanization and re-urbanization. To assess latent shifts from mono-centric models towards more disarticulated and decentralized settlement configurations, the present study evaluates spatio-temporal patterns of growth between the 1920s and the 2010s in three Mediterranean cities with different structure and functions (Barcelona: compact and moderately polycentric; Rome: dispersed, medium-density; Athens: mono-centric, hyper-compact). To identify and characterize long-term urban transformations, an original approach was illustrated in this study, based on a multivariate analysis of 13 indicators resulting from descriptive statistics and linear regression modeling the relationship between population density and distance from inner cities. The empirical results of this study indicate that Barcelona, Rome and Athens have experienced different urbanization cycles, characterized by a (more or less) concentrated distribution of population along urban gradients. Despite similarities in demographic dynamics and planning practices, these processes have determined (i) a mostly centralized growth in Barcelona, (ii) a relatively dispersed and discontinuous spatial structure in Rome, and (iii) a steep decline of population density with the distance from downtown Athens. Compact urban expansion, population decline and urban de-concentration were finally assessed using the analytical approach proposed in this study.

scholarly journals Using remote sensing data in population density estimation

2021 ◽  
Author(s):  
E.G. Shvetsov ◽  
N.M. Tchebakova ◽  
E.I. Parfenova
Keyword(s):  
Remote Sensing ◽  
Spatial Distribution ◽  
Population Density ◽  
Vegetation Index ◽  
Census Data ◽  
Remote Sensing Data ◽  
Satellite System ◽  
Population Census ◽  
Krasnoyarsk Krai ◽  
Using Data

In recent decades, remote sensing methods have often been used to estimate population density, especially using data on nighttime illumination. Information about the spatial distribution of the population is important for understanding the dynamics of cities and analyzing various socio-economic, environmental and political factors. In this work, we have formed layers of the nighttime light index, surface temperature and vegetation index according to the SNPP/VIIRS satellite system for the territory of the central and southern regions of the Krasnoyarsk krai. Using these data, we have calculated VTLPI (vegetation temperature light population index) for the year 2013. The obtained values of the VTLPI calculated for a number of settlements of the Krasnoyarsk krai were compared with the results of the population census conducted in 2010. In total, we used census data for 40 settlements. Analysis of the data showed that the relationship between the value of the VTLPI index and the population density in the Krasnoyarsk krai can be adequately fitted (R 2 = 0.65) using a linear function. In this case, the value of the root-meansquare error was 345, and the relative error was 0.09. Using the obtained model equation and the spatial distribution of the VTLPI index using GIS tools, the distribution of the population over the study area was estimated with a spatial resolution of 500 meters. According to the obtained model and the VTLPI index, the average urban population density in the study area exceeded 500 people/km2 . Comparison of the obtained data on the total population in the study area showed that the estimate based on the VTLPI index is about 21% higher than the actual census data.

Are phytoplankton population density maxima predictable through analysis of host and viral genomic DNA content?

2006 ◽  
Vol 86 (3) ◽  
pp. 491-498 ◽  
Author(s):  
Chris M. Brown ◽  
Janice E. Lawrence ◽  
Douglas A. Campbell
Keyword(s):  
Population Density ◽  
Dna Content ◽  
Viral Genome ◽  
Particle Assembly ◽  
Phytoplankton Population ◽  
Strong Linear Correlation ◽  
Viral Progeny ◽  
A Cell ◽  
Viral Proliferation ◽  
Viral Particle Assembly

Phytoplankton:virus interactions are important factors in aquatic nutrient cycling and community succession. The number of viral progeny resulting from an infection of a cell critically influences the propagation of infection and concomitantly the dynamics of phytoplankton populations. Host nucleotide content may be the resource limiting viral particle assembly. We present evidence for a strong linear correlation between measured viral burst sizes and viral burst sizes predicted from the host DNA content divided by the viral genome size, across a diversity of phytoplankton:viral pairs. An analysis of genome sizes therefore supports predictions of taxon-specific phytoplankton population density thresholds beyond which viral proliferation can trim populations or terminate phytoplankton blooms. We present corollaries showing that host:virus interactions may place evolutionary pressure towards genome reduction of both phytoplankton hosts and their viruses.

Generating population census data through aerial remote sensing

1994 ◽  
Vol 22 (3) ◽  
pp. 131-138 ◽  
Author(s):  
R. C. S. Taragi ◽  
K. S. Bisht ◽  
B. S. Sokhi
Keyword(s):  
Remote Sensing ◽  
Census Data ◽  
Population Census ◽  
Aerial Remote Sensing

Abstract W P48: Marked Regional Variation in Acute Stroke Treatment in Medicare Beneficiaries

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
James F Burke ◽  
Lesli E Skolarus ◽  
Eric E Adelman ◽  
Phillip A Scott ◽  
William J Meurer
Keyword(s):  
Population Density ◽  
Acute Stroke ◽  
Census Data ◽  
Combined Therapy ◽  
Local Health ◽  
Median Income ◽  
Medicare Beneficiaries ◽  
Stroke Treatment ◽  
Acute Stroke Treatment ◽  
Iv Tpa

Objective: Regionalization of stroke care has occurred sporadically across the U.S, so determining realistic goal treatment rates for individual regions or the nation as a whole is challenging. Studies of a single hospital or region vary widely in estimates of eligibility for acute therapy and may have limited generalizability or biases. We hypothesized that the proportion of U.S. Medicare beneficiaries receiving acute stroke therapy varies by region. Treatment rates in high performing regions may represent realistic national goals and inform policy to increase treatment rates. Methods: All Medicare beneficiaries with a principal diagnosis of ischemic stroke (ICD-9 433.x1, 434.x1, 436) admitted through the emergency department were identified using MEDPAR files from 2007-2010. Receipt of IV tPA (DRG 559, MS-DRG 61-63, ICD-9 procedure code 99.10) or IA thrombolysis (CPT code 37184-6, 37201, 75896 via linked Medicare Carrier files) was determined. Patients were assigned to one of 3,436 Hospital Service Areas (HSA; local health care markets for hospital care) by zip code. Regional acute stroke treatment rates were calculated and the lowest and highest quintiles were compared. Multi-level logistic regression was used to adjust for individual demographics as well as regional population density, education, median income, and unemployment using linked census data. Model-based adjusted regional acute stroke treatment rates were estimated. Results: Of 916,232 stroke admissions 3.6% received IV tPA only and 0.6% received IA or combined therapy. Unadjusted treatment rates by region ranged from 0.8% (minimum) to 14.8% (maximum). Regional rates ranged from 1.7% (quintile 1) to 5.4% (quintile 5). Regions with higher education, population density and income had higher treatment rates (p <= 0.001). After adjustment, regional differences were attenuated slightly _ 1.9% (quintile 1) to 5.1% (quintile 5). Conclusions: Marked variation exists in acute stroke treatment rates by region, even after adjusting for patient and regional characteristics, supporting the perception that a major opportunity exists to improve acute stroke treatment within many HSAs.

PERANCANGAN APLIKASI SENSUS PENDUDUK PADA BADAN PUSAT STATISTIK KOTA MAKASSAR BERBASIS ANDROID

2021 ◽  
Vol 6 (1) ◽  
pp. 48
Author(s):  
Nurkhalik Wahdanial Asbara
Keyword(s):  
Data Collection ◽  
Census Data ◽  
Population Data ◽  
Accurate Information ◽  
Population Census ◽  
Male Population ◽  
Female Population ◽  
Technological Developments ◽  
The Government ◽  
Population Ratio

Technological developments and changes in government systems are developing rapidly. Both of these lead to efforts to carry out duties, protect functions and serve the community. This encourages the government to take various adjustment steps quickly in line with the dynamics of development that occur. One of them is through a population census. The population census is an important issue that must be handled properly. The population census in this study takes population data in an area based on the number of male population, female population, ratio, and population density. The data was taken and submitted to the Makassar City Statistics Agency. Population Census is a presentation of information that has the ability to present accurate information, and helps facilitate the search for a population census data. The population census is carried out every 5 years which is carried out by census officers to carry out data collection to each resident's house, the data collection process is carried out by conventional recording and submitting it to the central statistics agency for database entry. With this application, it is expected to provide convenience to Population census officers to perform the process of inputting population data and the data is directly stored in the database without having to return to the office to input again.

The State of Development in Villages of India: An Analysis of the 2011 Census Data

2018 ◽  
Vol 12 (3) ◽  
pp. 305-325 ◽  
Author(s):  
Aalok Ranjan Chaurasia
Keyword(s):  
Present Article ◽  
Small Proportion ◽  
Census Data ◽  
The State ◽  
Programming Approach ◽  
Population Census ◽  
Development Index ◽  
Village People ◽  
Development Approach ◽  
The Village

The present article uses data available through the 2011 population census to analyze the state of development in the villages of India on the basis of a village development index that has been constructed for the purpose following the capabilities expansion as development approach. The analysis reveals that the state of development in the villages of the country varies widely and there is only a small proportion of the villages where the state of development can be termed as satisfactory. The analysis also reveals that the state of development in the village is influenced by its selected defining characteristics. The article calls for a village-based planning and programming approach for meeting the development and welfare needs of the village people.

scholarly journals MONITORING CHANGES OF ECOSYSTEM SERVICES SUPPLY AND DEMAND PATTERN IN CENTRAL AND SOUTHERN LIAONING URBAN AGGLOMERATIONS, CHINA USING LANDSAT IMAGES

2018 ◽  
Vol XLII-3 ◽  
pp. 765-770
Author(s):  
B. Li ◽  
F. Huang ◽  
S. Chang ◽  
H. Qi ◽  
H. Zhai
Keyword(s):  
Ecosystem Services ◽  
Population Density ◽  
Foreign Investment ◽  
Driving Forces ◽  
Supply And Demand ◽  
Reference Value ◽  
Landsat Images ◽  
Urban Agglomerations ◽  
Spatio Temporal

Indentifying the spatio-temporal patterns of ecosystem services supply and demand and the driving forces is of great significance to the regional ecological security and sustainable socio-economic development. Due to long term and high-intensity development, the ecological environment in central and southern Liaoning urban agglomerations has been greatly destroyed thereafter has restricted sustainable development in this region. Based on Landsat ETM and OLI images, land use of this urban agglomeration in 2005, 2010 and 2015 was extracted. The integrative index of multiple-ecosystem services (IMES) was used to quantify the supply (IMESs), demand (IMESd) and balance (IMESb) of multiple-ecosystem services, The spatial patterns of ecosystem services and its dynamics for the period of 2005&amp;ndash;2015 were revealed. The multiple regression and stepwise regression analysis were used to explore relationships between ecosystem services and socioeconomic factors. The results showed that the IMESs of the region increased by 2.93&amp;thinsp;%, whereas IMESd dropped 38&amp;thinsp;%. The undersupplied area was reduced to 2. The IMESs and IMESb were mainly negatively correlated with gross domestic product (GDP), population density, foreign investment and industrial output, while GDP per capita and the number of teachers had significant positive impacts on ecosystem services supply. The positive correlation between IMESd and GDP, population density and foreign investment were found. The ecosystem services models were established. Supply and balance of multiple-ecosystem services were positively correlated with population density, but the demand was the opposite. The results can provide some reference value for the coordinately economic and ecological development in the study area.

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