scholarly journals Space-Time Analysis of Migrations, Employment, and Housing as A Basis for Municipal Sustainable Urban Planning

2020 ◽  
Vol 12 (6) ◽  
pp. 2473
Author(s):  
Patricia Abelairas-Etxebarria ◽  
Inma Astorkiza
Keyword(s):  
Land Use ◽  
Housing Market ◽  
Spatial Data ◽  
Local Level ◽  
Housing Prices ◽  
Space Time ◽  
Sustainable Land Use ◽  
Spatial Data Analysis ◽  
Spatial Homogeneity ◽  
Land Use Policies

A close relationship exists between population, the housing market and the level of employment at the local level. On the one hand, the housing market is influenced by local planning decisions and, on the other hand, that market is a significant factor in population and economic dynamization. Although there are studies on these variables, it is not common to include their spatial perspective by introducing Geographic Information System (GIS) tools in the analysis. The aim of this study is to analyse space-time associations among the variables migrations, housing prices, and employment prior to and during the economic crisis, in order to adapt sustainable land use policies to be used by land use planning authorities. Bivariate Exploratory Spatial Data Analysis (bivariate ESDA) has been used for this purpose. As our main results demonstrate, spatial positive autocorrelation was found between the variables employment in a village before the crisis and housing prices in neighbouring municipalities during it, indicating that people move to live in areas close to their workplace, but not necessarily to the same municipality. The analysis also shows spatial homogeneity of the variable housing prices, accompanied by temporal stability. The results indicate the need to implement sustainable control land use policies, not at the municipality level but at the county level.

scholarly journals Spatial Analysis of Housing Prices and Market Activity with the Geographically Weighted Regression

2020 ◽  
Vol 9 (6) ◽  
pp. 380
Author(s):  
Radosław Cellmer ◽  
Aneta Cichulska ◽  
Mirosław Bełej
Keyword(s):  
Spatial Heterogeneity ◽  
Housing Market ◽  
Spatial Data ◽  
Geographically Weighted Regression ◽  
Housing Prices ◽  
Spatial Diversity ◽  
Spatial Data Analysis ◽  
Weighted Regression ◽  
Market Activity ◽  
Administrative Units

The main part of the study will be to demonstrate that models taking into account spatial heterogeneity (Geographically Weighted Regression and Mixed Geographically Weighted Regression) which reproduce housing market determinants better reflect market relationships than conventional regression models. The spatial heterogeneity of the housing market determinants results in the spatial diversity of the market activity, as well as of real estate prices and values. The main aim of the study was to analyse an effect of these socio-demographic and environmental factors on average housing property prices and on the number of transactions in a spatial approach. In previous research conducted on a national scale, usually all variables were treated in a similar way, i.e., as global or local variables. During the research, an attempt was also made to answer the question of which of the variables adopted for analysis have a local impact on prices and market activity, and which are global. The study was conducted in Poland and used data from the year 2018 on 380 counties (Local Administrative Units). The study showed that determinants both for average prices and for the housing market activity show spatial autocorrelation with high–high and low–low cluster groups. Owing to these models, it was possible to draw specific conclusions on local determinants of flat prices and the market activity in Poland. The study findings have confirmed that they are an extremely effective tool for spatial data analysis.

scholarly journals The role and significance of planning in the determination of house prices in Australia: Recent policy debates

2021 ◽  
pp. 0308518X2198894
Author(s):  
Peter Phibbs ◽  
Nicole Gurran
Keyword(s):  
Land Use ◽  
Housing Market ◽  
Land Use Planning ◽  
House Prices ◽  
Housing Prices ◽  
House Price ◽  
Evidence Base ◽  
Urban Housing ◽  
Price Inflation ◽  
Depth Analysis

On the world stage, Australian cities have been punching above their weight in global indexes of housing prices, sparking heated debates about the causes of and remedies for, sustained house price inflation. This paper examines the evidence base underpinning such debates, and the policy claims made by key commentators and stakeholders. With reference to the wider context of Australia’s housing market over a 20 year period, as well as an in depth analysis of a research paper by Australia’s central Reserve Bank, we show how economic theories commonly position land use planning as a primary driver of new supply constraints but overlook other explanations for housing market behavior. In doing so, we offer an alternative understanding of urban housing markets and land use planning interventions as a basis for more effective policy intervention in Australian and other world cities.

scholarly journals Analisis Alih Fungsi Lahan di Kabupaten Aceh Selatan

2018 ◽  
Vol 3 (2) ◽  
pp. 400-408
Author(s):  
Riski Yunianda ◽  
Syakur Syakur ◽  
Teti Arabia
Keyword(s):  
Land Use ◽  
Spatial Pattern ◽  
Spatial Data ◽  
Agricultural Land ◽  
Spatial Data Analysis ◽  
Agricultural Land Use ◽  
Dry Land ◽  
Land Distribution ◽  
Space Pattern ◽  
Agricultural Use

Abstrak. Seiring terjadinya penyimpangan penggunaan lahan sangat sering terjadi terhadap rencana tata ruang wilayah (RTRW). Daerah pinggiran kota merupakan wilayah yang banyak mengalami perubahan penggunaan lahan terutama perubahan penggunaan lahan pertanian menjadi non pertanian. Penelitian ini bertujuan untuk menganalisis perubahan penggunaan lahan pertanian di Kabupaten Aceh Selatan tahun 2013 dengan tahun 2017 dan menganalisis keselarasan penggunaan lahan pertanian eksisting tahun 2017 dengan pola ruang Kabupaten Aceh Selatan tahun 2013-2033. Metode yang digunakan dalam penelitian ini adalah metode deskriptif dengan teknik survai. Sedangkan analisis data spasial menggunakan SIG dengan konsep extract, overlay dan intersect. Hasil kajian menunjukkan hasil koreksi pada pengunaan lahan pertanian tahun 2013 dengan tahun 2017 didapatlah luas penggunaan lahan pertanian yang telah beralih fungsi seluas 8.041,56 ha, yang mana pada lahan sawah seluas 3.680,30 ha dan pada pertanian lahan kering seluas 4.361,26 ha. Penggunaan lahan pertanian yang telah beralih fungsi tersebut telah menjadi berbagai macam penggunaan lahan lainnya yang tersebar di seluruh Kabupaten Aceh Selatan, penggunaan lahan pertanian yang selaras dengan rencana pola ruang memiliki luas 36.293,85 ha (91,30%), penggunaan lahan yang tidak selaras yaitu Penggunaan lahan eksisting tidak selaras dengan rencana pola ruang seluas 1.513,53 ha (3,81%), dan belum terlaksana atau belum terealisasi terhadap lahan pertanian yang direncanakan terhadap pola ruang atau masih dapat berubah sesuai dengan rencana pola ruang seluas 6.711,08  ha (14,44 %). Analysis of Functional Land Distribution of Agriculture in District Aceh SelatanAbstract. Absorption of deviation of land use is very frequent to spatial planning (RTRW). Suburban areas are areas that have undergone many changes in land use due to changes in agricultural land use to non-agricultural use. This research was conducted for 2013 with 2017 and analysis of existing agricultural land use in 2017 with South Aceh Regency spatial pattern year 2013-2033. The method used in this research is descriptive method with survey technique. While spatial data analysis using GIS concept with overlay and intersect concept. The results showed that agricultural land in 2013 with the year 2017 obtained the wide use of agricultural land that has a function conversion of 8,041.56 ha, which in the rice field area of 3,680.30 ha and on dry land of 4,361.26 ha. The use of converted agricultural land into various land uses scattered throughout the District of South Aceh, different use of agricultural land with plans of wide spatial pattern 36,29,85 ha (91,30%), land use that is not aligned Land use the existing is not aligned with the plan of the pattern of the space of 1,513.53 ha (3.81%), and has not been realized or not yet realized on agricultural land that allows the pattern of space can be changed in accordance with the Plan of Space Pattern covering 6,711,08 ha (14,44%).

scholarly journals Land and Forest Management by Land Use/ Land Cover Analysis and Change Detection Using Remote Sensing and GIS

2016 ◽  
Vol 9 (1) ◽  
pp. 63-77 ◽  
Author(s):  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Forest Management ◽  
Land Cover ◽  
Spatial Data ◽  
Management Strategies ◽  
Geographical Information ◽  
Spatial Data Analysis ◽  
Study Region ◽  
Rugged Terrain

Abstract Remote sensing and Geographical Information System (GIS) are the most effective tools in spatial data analysis. Natural resources like land, forest and water, these techniques have proved a valuable source of information generation as well as in the management and planning purposes. This study aims to suggest possible land and forest management strategies in Chakia tahsil based on land use and land cover analysis and the changing pattern observed during the last ten years. The population of Chakia tahsil is mainly rural in nature. The study has revealed that the northern part of the region, which offers for the settlement and all the agricultural practices constitutes nearly 23.48% and is a dead level plain, whereas the southern part, which constitute nearly 76.6% of the region is characterized by plateau and is covered with forest. The southern plateau rises abruptly from the northern alluvial plain with a number of escarpments. The contour line of 100 m mainly demarcates the boundary between plateau and plain. The plateau zone is deeply dissected and highly rugged terrain. The resultant topography comprises of a number of mesas and isolated hillocks showing elevation differences from 150 m to 385 m above mean sea level. Being rugged terrain in the southern part, nowadays human encroachment are taking place for more land for the cultivation. The changes were well observed in the land use and land cover in the study region. A large part of fallow land and open forest were converted into cultivated land.

scholarly journals Urbanization and Increasing Flood Risk in the Northern Coast of Central Java—Indonesia: An Assessment towards Better Land Use Policy and Flood Management

Land ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 343
Author(s):  
Wiwandari Handayani ◽  
Uchendu Eugene Chigbu ◽  
Iwan Rudiarto ◽  
Intan Hapsari Surya Putri
Keyword(s):  
Land Use ◽  
River Basin ◽  
Spatial Data ◽  
Urban Areas ◽  
Landsat Imagery ◽  
Flood Management ◽  
Spatial Data Analysis ◽  
Northern Coast ◽  
Flood Events ◽  
Central Java

This study explores urbanization and flood events in the northern coast of Central Java with river basin as its unit of analysis. Two types of analysis were applied (i.e., spatial data and non-spatial data analysis) at four river basin areas in Central Java—Indonesia. The spatial analysis is focused on the assessment of LULC change in 2009–2018 based on Landsat Imagery. The non-spatial data (i.e., rural-urban classification and flood events) were overlaid with results of spatial data analyses. Our findings show that urbanization, as indicated by the growth rate of built-up areas, is very significant. Notable exposure to flood has taken place in the urban and potentially urban areas. The emerging discussion indicates that river basins possess dual spatial identity in the urban system (policy- and land-use-related). Proper land use planning and control is an essential instrument to safeguard urban areas (such as the case study area) and the entire island of Java in Indonesia. More attention should be put upon the river basin areas in designing eco-based approach to tackle the urban flood crises. In this case, the role of governance in flood management is crucial.

scholarly journals PERUBAHAN GARIS PANTAI DAN PENGGUNAAN LAHAN DESA TIMBULSLOKO, DEMAK MENGGUNAKAN CITRA SATELIT LANDSAT TAHUN 2000-2017 Shorline Changes And Land Use In Timbulsloko Village, Demak Regency Using Landsat Satelite Images 2000-2017

2019 ◽  
Vol 8 (1) ◽  
pp. 19-27
Author(s):  
Chris Antoni P Purba ◽  
Max Rudolf Muskananfola ◽  
Sigit Febrianto
Keyword(s):  
Land Use ◽  
Image Classification ◽  
Spatial Data ◽  
Land Use Changes ◽  
Image Data ◽  
Spatial Data Analysis ◽  
Shoreline Changes ◽  
Erosion Area ◽  
Erosion And Accretion ◽  
Quantitative Descriptive

ABSTRAKDesa Timbulsloko yang berada di Kabupaten Demak mengalami perubahan garis pantai dan perubahan penggunaan lahan akibat erosi dan akresi. Tujuan penelitian ini adalah untuk mengetahui perubahan garis pantai akibat erosi dan akresi, mengetahui perubahan penggunaan lahan dan kaitan antara perubahan garis pantai dengan penggunaan lahan. Penelitian ini dilaksanakan pada bulan Agustus – September 2017. Metode penelitian yang digunakan adalah metode deskriptif kuantitatif. Pengolahan data citra dilakukan penggabungan band, koreksi geometrik, koreksi radiometri, pemotongan citra, digitasi dan image classification. Analisis data secara spasial menggunakan metode overlay. Pada tahun 2000-2005 erosi seluas 19,3872 ha, pada tahun 2005-2010 erosi seluas 107,3174 ha dan akresi seluas 0,3622 ha, pada tahun 2010-2015 erosi seluas 39,6483 ha dan akresi seluas 3,0160 ha, pada tahun 2015-2017 erosi seluas 0,9502 ha dan akresi seluas 7,2646 ha. Penggunaan lahan hasil klasifikasi citra terdapat 5 kelas yaitu : mangrove, tambak, genangan, permukiman dan vegetasi darat. Pada tahun 2000-2005 penggunaan lahan mengalami perubahan luasan tertinggi yaitu genangan yang awal nya seluas 92,39 Ha menjadi tambak seluas 67,66 Ha. Tahun 2005-2010 perubahan tertinggi yaitu genangan yang awalnya seluas 55,42 Ha menjadi tambak seluas 39,46 Ha. Tahun 2010-2015 penggunaan lahan yang mengalami perubahan luasan tertinggi yaitu tambak seluas 353,05 Ha menjadi genangan sebesar 136,43 Ha. Tahun 2015-2017 penggunaan lahan yang mengalami perubahan terbesar yaitu genangan yang awalnya seluas 175,41 Ha menjadi tambak seluas 33,63 Ha. Perubahan garis pantai dan penggunaan lahan memiliki keterkaitan yaitu penggunaan lahan menyebabkan perubahan garis pantai dan berdampak pada penggunaan lahan di Desa Timbulsloko. ABSTRACT Timbulsloko Village in Demak Regency had shoreline changes and land use changes due to erosion and accretion. The purpose of this study was to determine shoreline changes due to erosion and accretion, to identify changes in land use and the relationship between changes in coastline and land use. This research was conducted during August - September 2017. The research method used was quantitative descriptive method. Image data processing was carried out combining bands, geometric corrections, radiometric correction, image cutting, digitization and image classification. Spatial data analysis using the overlay method. In 2000-2005 erosion area was 19,3872 ha, in 2005-2010 erosion area was 107,3174 ha and accretion area was 0,3622 ha, in 2010-2015 erosion area was 39,6483 ha and accretion covering 3,0160 ha, in 2015-2017 erosion covered 0.9502 ha and accretion area was 7.2646 ha. There are 5 classes of land use from image classification, namely: mangroves, dikes, ponds, settlements and land vegetation. In 2000-2005 land use experienced the highest change in area, namely the initial inundation covering an area of 92.39 hectares to  pond area of 67.66 hectares. In 2005-2010 the highest change was the initial inundation covering an area of 55.42 ha to pond covering an area of 39.46 ha. Become 2010-2015 land use experienced the highest change in area, namely ponds covering an area of 353.05 ha to a pool of 136.43 ha. In 2015-2017 the land use that experienced the biggest change was the initial inundation of 175.41 ha into an area of 33.63 ha. Changes in coastline and land use have a linkage that is land use causes changes in coastline and impacts on land use in Timbulsloko Village. 

Geodemographies of Breastfeeding Support

2020 ◽  
pp. 089033442094141 ◽  
Author(s):  
Tony H. Grubesic ◽  
Kelly M. Durbin
Keyword(s):  
Support Groups ◽  
Spatial Data ◽  
Local Level ◽  
Spatial Data Analysis ◽  
Breastfeeding Support ◽  
Peer Counselors ◽  
Support Organizations ◽  
Support Resources ◽  
Spatial Analytics ◽  
La Leche League

Background Mother-to-mother breastfeeding support organizations provide important information and guidance for helping mothers initiate and maintain breastfeeding, postpartum. However, the availability of this support is limited by a constellation of barriers, including race, culture, socioeconomic status, and geography. Research aims To identify the geodemographic composition of communities where breastfeeding support was available from the mother-to-mother support organizations Breastfeeding USA and La Leche League, identify underlying issues of equity, and highlight locations where more support resources may be needed. Methods The locations of mother-to-mother support meetings were collected by ZIP code ( N = 180) and were combined with a geodemographic database and exploratory spatial data analysis to explore the compositional characteristics of communities served ( N = 1,173). Results Significant gaps in the geographic distribution of breastfeeding support existed. While many metropolitan areas benefited from numerous mother-to-mother support groups and peer counselors, the geographic footprint of this support favored communities that were white, affluent, and suburban. Conclusion Spatial analytics combined with geodemographic analysis provide a unique perspective into the diverse landscape of mother-to-mother breastfeeding support groups at a local level. Our results highlighted inequities in the distribution of support provided and prescriptive guidance regarding where more resources may be needed.

scholarly journals Spatial analysis of cerebral palsy in children and adolescents and its association with health vulnerability

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Marcus Valerius Peixoto ◽  
Andrezza Marques Duque ◽  
Allan Dantas Santos ◽  
Shirley Verônica Almeida Melo Lima ◽  
Társilla Pereira Gonçalves ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Data Analysis ◽  
Spatial Analysis ◽  
Children And Adolescents ◽  
Low Socioeconomic Status ◽  
Spatial Data ◽  
Local Level ◽  
Secondary Data ◽  
Spatial Data Analysis ◽  
Low Socioeconomic

Cerebral Palsy (CP) is commonly associated with low socioeconomic status. Use of spatial statistics and a Geographic Information Systems (GIS) are scarce and may contribute to the understanding of CP in a social context. To that end a spatial analysis of CP in children and adolescents was performed to analyze the association of CP with levels of vulnerability in a city (Aracaju, Sergipe) in north-eastern Brazil. In addition, an ecological study was conducted with data obtained from a populationbased survey and secondary data. Exploratory spatial data analysis and linear regression were used. A total of 288 CP cases were identified, with a prevalence of 1.65/1,000 and differences among city neighbourhoods ranging from 0-4/1,000. The mean age of cases studied was 9 years 1 month, with a standard deviation of 5 years 2 months. Most study subjects with cerebral palsy (163) were male (56.4%). The distribution of CP in the study population was not homogeneous throughout the territory. Some areas had clusters, with more cases associated with areas of high vulnerability. Spatial data analysis using GIS was useful to gain an epidemiological understanding of CP distribution that can guide decisionmaking with respect to production, distribution, and regulation of health goods as well as services at the local level.

scholarly journals Research on Urban Carrying Capacity Based on Multisource Data Fusion—A Case Study of Shanghai

2021 ◽  
Vol 13 (14) ◽  
pp. 2695
Author(s):  
Xiangyang Cao ◽  
Yishao Shi ◽  
Liangliang Zhou
Keyword(s):  
Land Use ◽  
Data Fusion ◽  
Spatial Pattern ◽  
Spatial Data ◽  
Carrying Capacity ◽  
Urban Spaces ◽  
Geographical Information ◽  
Spatial Data Analysis ◽  
Spatial Pattern Analysis ◽  
Local Conditions

Taking Shanghai as an example, this paper uses remote sensing (RS) and geographical information systems (GIS) technology to conduct multisource data fusion and a spatial pattern analysis of urban carrying capacity at the micro scale. The main conclusions are as follows: (1) based on the “production, living and ecology” land functions framework and land use data, Shanghai is divided into seven types of urban spaces to reveal their heterogeneity and compatibility in terms of land use functions. (2) We propose an urban carrying capacity coupling model (UCCCM) based on multisource data. The model incorporates threshold and saturation effects, which improve its power to explain urban carrying capacity. (3) Using the exploratory spatial data analysis (ESDA) technique, this paper studies the spatial pattern of carrying capacity in different urban spaces of Shanghai. (4) We analyse the causes of the cold spots in each urban space and propose strategies to improve the urban carrying capacity according to local conditions.

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