scholarly journals Using GIS methods to analyse the spatial distribution and public accessibility of pharmacies in Craiova city, Romania

2019 ◽  
Vol 45 (45) ◽  
pp. 125-132
Author(s):  
Cristiana Vîlcea ◽  
Sorin Avram
Keyword(s):  
Spatial Distribution ◽  
Population Density ◽  
Population Size ◽  
Uneven Distribution ◽  
Residential Areas ◽  
Pharmaceutical Sector ◽  
Geographical Analysis ◽  
National Legislation ◽  
Gis Methods ◽  
The City

AbstractThe present study represents a social and geographical analysis of the spatial distribution of pharmacies in Craiova city using GIS methods. This study aims to present the evolution in the pharmacies’ number, location, density and accessibility to the population of Craiova city on the background of an analysis of European and national legislation concerning the pharmaceutical sector. The paper also outlines the uneven distribution of pharmacies in the city by analysing the ratio between the number of pharmacies and the number of people within a district. Distance and time are considered important, especially when using different transport types. Indicators like density of pharmacies, distribution of population density, and population size in districts were taken into account in this study. Although the GIS-based analysis revealed that accessibility of pharmacies in terms of time and distance and the ratio of population size to number of pharmacies were both good and had increased over the years, the study also indicated residential areas with no pharmacy, and therefore an uneven distribution of pharmaceutical services.

scholarly journals HUBUNGAN KERAPATAN PENDUDUK DENGAN KEANEKARAGAMAN TANAMAN BUAH PEKARANGAN DI KECAMATAN GODEAN, KABUPATEN SLEMAN, YOGYAKARTA (Relationship between Population Density and Diversity of Yard Fruit Plants in Godean Sub-District, Sleman District, Yogyakarta)

2020 ◽  
Vol 27 (2) ◽  
pp. 50
Author(s):  
Fransisca Kiki Fajarwati ◽  
Suwarno Hadisusanto ◽  
Hartono Hartono
Keyword(s):  
Population Density ◽  
Secondary Data ◽  
Residential Areas ◽  
Community Adaptation ◽  
Green Areas ◽  
Fruit Plants ◽  
The Relationship ◽  
The City ◽  
Productive Landscapes ◽  
Research Period

AbstrakTanaman buah sangat besar manfaatnya bagi manusia dan lingkungan hidup antara lain berperan untuk menjaga kawasan hijau di kawasan hunian, namun keberadaannya di pekarangan saat ini teracam karena meningkatnya alih fungsi lahan dari pekarangan menjadi lahan terbangun untuk tempat tinggal seiring dengan pertambahan jumlah manusia. Tujuan penelitian ini adalah menganalisis persebaran kerapatan penduduk, keanekaragaman tanaman buah, hubungan kerapatan penduduk dengan keanekaragaman tanaman buah, adaptasi masyarakat dalam melestarikan tanaman buah dan pekarangan dan menyusun usulan pelestarian tanaman buah dan pekarangan di Kecamatan Godean, Kabupaten Sleman. Metode yang digunakan adalah observasi dan memanfaatkan data sekunder dengan periode waktu penelitian selama sepuluh bulan. Hasil yang diperoleh adalah kerapatan penduduk di Kecamatan Godean semakin ke bagian timur (mendekati Kota Yogyakarta) memiliki angka semakin tinggi. Semakin rapat penduduk maka semakin rendah indeks keanekaragaman dan kemerataan, semakin tinggi indeks dominansi, semakin sedikit jumlah jenis tanaman buah yang ditemukan, dan semakin sedikit kawasan hijau di kawasan hunian. Lokasi dengan kerapatan penduduk semakin tinggi terjadi adaptasi pelestarian tanaman buah dan pekarangan yang mendukung konsep lanskap produktif. Usulan pelestarian tanaman buah dan pekarangan disusun dengan mempertahankan usaha pemerintah dan warga yang dirasa efektif, memperbaiki atau menghilangkan yang kurang efektif dan menyusun usulan baru dengan harapan agar tetap dapat menjaga lingkungan hidup dengan menjaga kawasan hijau di kawasan hunian berdasarkan permasalahan yang ditemukan di lapangan.AbstractFruit plants are very beneficial for human and environment, including their role is protecting green areas in residential areas, but their presence in the yard today is threatened because the increasing conversion of land functions from yard to building for shelter along with the increase in the number of people. The purpose of this study is to analyze the distribution of population density, the relationship between population density and diversity of fruit plants, community adaptation to conserve fruit plants and yard, and to give the recommendation for fruit plants and yard conservation in Godean Sub-District, Sleman District. The methods used are observation and utilizing secondary data with a research period of ten months. The study found that the population density in eastern part of Godean District (approaching the City of Yogyakarta) had higher numbers. The higher population density is, the lower diversity and evenness index, the higher the dominance index, the fewer the number of fruit plants found, and the less green areas in residential areas. Locations with higher population densities are adapted to conserve the fruit plants and yard. These findings support the concept of productive landscapes. Recommendation for fruit plants and yard conservation was compiled by maintaining goverment and citizen efforts that are felt to be effective, repairing or eliminating ones that are less effective and making new recommendation with the hope that it can protect the environment by protecting green areas in residential areas based on problems found in the field.

scholarly journals Frequency and spatial distribution of animal and object hoarder behavior in Curitiba, Paraná State, Brazil

2017 ◽  
Vol 33 (2) ◽  
Author(s):  
Graziela Ribeiro da Cunha ◽  
Camila Marinelli Martins ◽  
Marília de Fátima Ceccon-Valente ◽  
Liana Ludielli da Silva ◽  
Flavia Dias Martins ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Population Density ◽  
Population Distribution ◽  
Distribution Patterns ◽  
Spatial Cluster ◽  
Monthly Income ◽  
The North ◽  
Neighborhood Income ◽  
Overall Ratio ◽  
The City

Abstract: This study aimed to establish the frequency and spatial distribution of animal and object hoarding in Curitiba (Paraná State), the eighth most populous city in Brazil. All hoarding complaints received by the City Secretaries of Health, Environment and Social Assistance between September 2013 and April 2015 were collected (n = 226) and suspicious cases were individually investigated. A total of 113/226 (50%) of complaints were confirmed as hoarding cases, representing an overall ratio of 6.45 cases per 100,000 inhabitants in Curitiba, of which 48/113 (42.5%) involved object hoarders, 41/113 (36.3%) animal hoarders and 24/113 (21.2%) both animal and object hoarders. A correlation of total identified cases with neighborhood population density and all population stratums analyzed (total, gender, age) was significantly positive (p < 0.01), and with neighborhood mean monthly income (r = -0.2; p = 0.03) significantly negative. A spatial cluster of cases was found in the north of the city (OR = 8.57; p < 0.01). Hoarding cases were relatively frequent in Curitiba and were associated with population distribution patterns and inversely related to neighborhood income.

scholarly journals An Improved Method of Determining Human Population Distribution Based on Luojia 1-01 Nighttime Light Imagery and Road Network Data—A Case Study of the City of Shenzhen

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5032 ◽  
Author(s):  
Qiang Zhou ◽  
Yuanmao Zheng ◽  
Jinyuan Shao ◽  
Yinglun Lin ◽  
Haowei Wang
Keyword(s):  
Spatial Distribution ◽  
Population Density ◽  
Spatial Resolution ◽  
Urban Population ◽  
Road Network ◽  
Population Distribution ◽  
Small Scale ◽  
Human Settlement ◽  
Nighttime Light ◽  
The City

Previously published studies on population distribution were based on the provincial level, while the number of urban-level studies is more limited. In addition, the rough spatial resolution of traditional nighttime light (NTL) data has limited their fine application in current small-scale population distribution research. For the purpose of studying the spatial distribution of populations at the urban scale, we proposed a new index (i.e., the road network adjusted human settlement index, RNAHSI) by integrating Luojia 1-01 (LJ 1-01) NTL data, the enhanced vegetation index (EVI), and road network density (RND) data based on population density relationships to depict the spatial distribution of urban human settlements. The RNAHSI updated the high-resolution NTL data and combined the RND data on the basis of human settlement index (HSI) data to refine the spatial pattern of urban population distribution. The results indicated that the mean relative error (MRE) between the population estimation data based on the RNAHSI and the demographic data was 34.80%, which was lower than that in the HSI and WorldPop dataset. This index is suitable primarily for the study of urban population distribution, as the RNAHSI can clearly highlight human activities in areas with dense urban road networks and can refine the spatial heterogeneity of impervious areas. In addition, we also drew a population density map of the city of Shenzhen with a 100 m spatial resolution for 2018 based on the RNAHSI, which has great reference significance for urban management and urban resource allocation.

Predicting the Spatial Distribution of Dreissena polymorpha (Zebra Mussel) among Inland Lakes of Wisconsin: Modeling with a GIS

1994 ◽  
Vol 51 (5) ◽  
pp. 1189-1196 ◽  
Author(s):  
Michael A. Koutnik ◽  
Dianna K. Padilla
Keyword(s):  
Spatial Distribution ◽  
Population Density ◽  
Environmental Protection Agency ◽  
Zebra Mussel ◽  
Dreissena Polymorpha ◽  
Landscape Scale ◽  
Geographical Information ◽  
Valuable Insight ◽  
Inland Lakes ◽  
Gis Methods

Previously developed models and available limnological data were used to predict (i) absence or presence, (ii) categorical population density, and (iii) numerical abundance of Dreissena polymorpha (zebra mussel) for 194 inland Wisconsin lakes. A geographical information system (GIS) was used to test for associations between predicted lake population density classes and three landscape-scale characteristics (surficial deposits, bedrock type, U.S. Environmental Protection Agency developed ecoregions) that may affect limnological parameters. Although the models used differed in their predictions of specific lakes that would support Dreissena, the overall spatial distribution of lakes within a given density class was similar among the models. A significant association was found between each landscape-scale characteristic and Dreissena density classes. This study suggests that (1) available lake monitoring data can be used to predict Dreissena density for groups of inland lakes, (2) more information on North American lakes with zebra mussel is required to reduce the uncertainty of the models, and (3) spatial analysis using GIS methods can provide valuable insight into the overall patterns of the potential spatial distribution of Dreissena.

scholarly journals AVALIAÇÃO E MAPEAMENTO DA COBERTURA VEGETAL DA REGIÃO CENTRAL DA CIDADE DE JUIZ DE FORA – MG - EVALUATION AND MAPPING OF REGION CENTRAL VEGETATION COVER OF JUIZ DE FORA – MG

2017 ◽  
Vol 39 ◽  
pp. 146
Author(s):  
Isabela Fernanda Moraes de Paula ◽  
Cássia Castro Martins Ferreira
Keyword(s):  
Spatial Distribution ◽  
Population Density ◽  
Vegetation Cover ◽  
Urban Areas ◽  
Central Area ◽  
Important Variable ◽  
Woody Vegetation ◽  
Environmental Balance ◽  
The Many ◽  
The City

A presença da cobertura vegetal nas cidades tem sido considerada por diversos pesquisadores uma variável importante, devido aos diversos benefícios que proporcionam ao homem e ao equilíbrio ambiental. Nesse contexto este artigo objetiva contribuir para o conhecimento do verde urbano da área central do município de Juiz de Fora, calculando índices de cobertura vegetal e aplicando a metodologia proposta por Jim (1989), na análise da forma e espacialização da cobertura vegetal. Nesse sentido, os resultados alcançados demonstram que grande parte das regiões da área central da cidade de Juiz de Fora encontram-se abaixo do desejável em cobertura vegetal, necessitando de investimentos, principalmente, nos espaços de integração urbana, cujo percentual de áreas cobertas por vegetação em relação à totalidade abrange apenas 2%. Destaca-se que quanto maior a densidade demográfica, menor foi o percentual de cobertura vegetal, pode-se afirmar que a cobertura vegetal da área central da cidade de Juiz de Fora é fragmentada, descontínua e apresenta muitos “espaços vazios”. No mapeamento realizado foi encontrado 15,401% de áreas cobertas por vegetação arbórea, cerca de 1,694% de vegetação arbustiva e 8,59% de vegetação rasteira. As maiores extensões de manchas verdes encontram-se dispersas no meio, espalhadas por toda a área e desconectas uma com as outras. Logo, sua mensuração, classificação e distribuição espacial são de suma importância, pois tornam-se base essenciais para melhorias e planejamentos, no contexto das áreas urbanas.ABSTRACTThe presence of vegetation cover in the cities has been considered by many researchers an important variable, due to the many benefits they provide to humans and the environmental balance. In this context, this article aims to contribute to the knowledge of green urban central area of the city of Juiz de Fora, calculating vegetation cover ratios and applying the methodology proposed by Jim (1989), in the analysis of the shape and spatial distribution of vegetation cover. In this sense, the results achieved show that most regions of the central area of the city of Juiz de Fora are less than desirable in vegetation cover, requiring investments, mainly in the areas of urban integration, whose percentage of areas covered by vegetation in respect of all covers only 2%. It is noteworthy that the higher the population density, the lower the percentage of vegetation cover, it can be said that the vegetation cover in the central area of the city of Juiz de Fora is fragmented, discontinuous and presents many "empty spaces". In the mapping carried out was found 15.401% of areas covered by woody vegetation, about 1.694% of shrub and 8.59% of undergrowth. The largest expanses of green spots are scattered in between, scattered throughout the area and disconnect with each other. Therefore, its measurement, classification and spatial distribution are of paramount importance as it become essential basis for improvements and planning in the context of urban areas.

Impacts of a multi-scale built environment and its corresponding moderating effects on commute duration in China

Urban Studies ◽  
2019 ◽  
Vol 57 (10) ◽  
pp. 2115-2130
Author(s):  
Bindong Sun ◽  
Chun Yin
Keyword(s):  
Population Density ◽  
Built Environment ◽  
Population Size ◽  
Traffic Congestion ◽  
Future Research ◽  
Quadratic Term ◽  
Moderating Effects ◽  
City Population ◽  
Size Population ◽  
The City

Many studies have found that the built environment affects commute duration. However, they have paid little attention to the moderating effects of the surrounding built environment, and few have focused on the built environment at different levels simultaneously. Based on a sample of 3453 individuals across China in 2014, our study examined the impacts of the built environment at both the neighbourhood and city levels on commute duration as well as the moderating effects of the city-level built environment on the neighbourhood-level built environment using a multilevel linear regression model. The results show that built environment elements at both levels affect commute duration: city population size, population density at both levels, and the quadratic term for population density at the city level are positively associated with commute duration, while jobs–housing balance and short distance to business centres and transit stations are negatively related. City population size can strengthen the time-shortening effects of the jobs–housing balance and of proximity to transit stations on commute duration. City population density decreases the time-shortening effect of business centre proximity. This study has important implications for future research and policies regarding reducing traffic congestion and commute duration in Chinese cities.

The evolution process and the cause of the spatial distribution of cinemas in the Shanghai settlements (1919–1943)

Urban History ◽  
2020 ◽  
pp. 1-22
Author(s):  
Weiqing Zhao
Keyword(s):  
Twentieth Century ◽  
Population Structure ◽  
Spatial Distribution ◽  
Population Density ◽  
Urban Development ◽  
Geographical Distribution ◽  
Cultural Space ◽  
Production And Distribution ◽  
The City ◽  
Density Population

Abstract In the first decades of the twentieth century, Shanghai became China's most important film centre, for both production and distribution. The city hosted the largest number of movie theatres in the country. After the establishment of the first theatre in 1908 by a Spanish national, the distribution of movie theatres gradually transferred and expanded from Hongkew District, north of Suzhou Creek to the south bank of the International Settlement. This article examines the characteristics of the distribution of movie theatres in the city from the perspective of authorities’ policy, population density, population structure, traffic and cultural space. It analyses the factors leading to the particular geographical distribution and discusses the possible links between the space of cinema, urban development and urban cultural space.

Perencanaan Sistem Pengurangan Sampah Permukiman Bantaran Sungai Cidurian Kota Bandung

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Raka Maulana ◽  
Yulianti Pratama ◽  
Lina Apriyanti
Keyword(s):  
Waste Management ◽  
River Basin ◽  
River Flow ◽  
Waste Reduction ◽  
Residential Areas ◽  
Community Based ◽  
Inorganic Waste ◽  
Waste Bank ◽  
The City

<p>Some areas in the city of Bandung is an area that dilitasi by the flow of the river, to prevent the introduction of garbage into the river basin is necessary to note the waste management systems in residential areas along the river. Cidurian river has a length of 24.86 Km along the river flow. Consists of the city of Bandung and Bandung regency. Administrative regions Cidurian River past eight (8) districts, from the region in the District Kiaracondong precisely Village Babakan Babakan Sari and Surabaya populous and the most densely populated. Thus, there should be community-based waste management in the form of a reduction in resources to prevent potential entry of waste into the river basin. Planning waste reduction will be divided into two, namely the reduction of inorganic waste with waste bank then the reduction of organic waste with absorption holes biopori, and bio reactor mini determination of the reduction is determined by the results of the analysis of the sampling covers the composition and garbage, then the result of the measurement characteristics test and analysis results questionnaire.</p>

Spatial Hotspot Analysis of Bucharest’s Urban Heat Island (UHI) Using Modis Data

2018 ◽  
Vol 18 (1) ◽  
pp. 14-22 ◽  
Author(s):  
Georgiana Grigoraș ◽  
Bogdan Urițescu
Keyword(s):  
Surface Temperature ◽  
Air Temperature ◽  
Land Surface Temperature ◽  
Hot Spots ◽  
Land Surface ◽  
Hot Spot ◽  
Monitoring Network ◽  
Residential Areas ◽  
Hotspot Analysis ◽  
The City

Abstract The aim of the study is to find the relationship between the land surface temperature and air temperature and to determine the hot spots in the urban area of Bucharest, the capital of Romania. The analysis was based on images from both moderate-resolution imaging spectroradiometer (MODIS), located on both Terra and Aqua platforms, as well as on data recorded by the four automatic weather stations existing in the endowment of The National Air Quality Monitoring Network, from the summer of 2017. Correlation coefficients between land surface temperature and air temperature were higher at night (0.8-0.87) and slightly lower during the day (0.71-0.77). After the validation of satellite data with in-situ temperature measurements, the hot spots in the metropolitan area of Bucharest were identified using Getis-Ord spatial statistics analysis. It has been achieved that the “very hot” areas are grouped in the center of the city and along the main traffic streets and dense residential areas. During the day the "very hot spots” represent 33.2% of the city's surface, and during the night 31.6%. The area where the mentioned spots persist, falls into the "very hot spot" category both day and night, it represents 27.1% of the city’s surface and it is mainly represented by the city center.

Sign in / Sign up

Export Citation Format

Share Document