scholarly journals A Comparative Analysis of Environmental Justice Between Urban Neighbourhoods

2021 ◽  
Vol 1 (2) ◽  
pp. 27-40
Author(s):  
Maikudi Mohammed ◽  
Keyword(s):  
Environmental Justice ◽  
Spatial Data ◽  
Open Data ◽  
Sampling Technique ◽  
Spatial Data Analysis ◽  
Digital Tool ◽  
The Road ◽  
Urban Neighbourhoods ◽  
High Level ◽  
Open Data Kit

Inequality and spatial disparities in the provision of amenities and services is a serious problem that often expressed itself in the realms of social and environmental justice. This study investigated the level of environmental justice or otherwise in the provision of amenities and services in selected Northern and Southern neighbourhoods of Minna. Qualitative and quantitative data were acquired through physical surveys and direct observations of amenities and facilities to aid identification of salient features while a checklist was used to guide the research and converting field data to a digital tool using the Open Data Kit (ODK) tool. With purposive sampling technique, descriptive statistic, spatial data analysis and the Gini coefficient; it was shown that injustice in the provision of environmental amenities is both a cause and effect of distributive and procedural inequities across space. Although there is a moderate level of environmental justice (GC=0.33) on the aggregate in the study area, this is not even across sampled amenities, as there is a low level of equality in the provision of schools (GC=0.51). However, the provision of facilities like water boreholes (GC=0.37) and waste dumpsites (GC=0.28) performed fairly with moderate environmental justice; it is, worrisome to note that access roads recorded a high level of inequality (GC=0.19) – particularly as Bosso town with 40% of the residents of the metropolis only has 20% of access roads, while, Tudun Wada South is having 22% of the road for just 7% of the population. The study, therefore, recommended equitable construction of more access roads across the neighbourhoods; imbibing equity and justice in the provision of more water boreholes and waste dumpsites to help institute more sustainable development and management in Minna and similar cities.

scholarly journals A Grid-Based Approach for Measuring Similarities of Taxi Trajectories

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3118
Author(s):  
Wei Jiao ◽  
Hongchao Fan ◽  
Terje Midtbø
Keyword(s):  
Spatial Data ◽  
Behavior Pattern ◽  
Spatial Data Mining ◽  
Spatial Data Analysis ◽  
Exact Matching ◽  
The Road ◽  
Data Volume ◽  
Grid Codes ◽  
Position Prediction ◽  
Pass Through

Similarity measurement is one of the key tasks in spatial data analysis. It has a great impact on applications i.e., position prediction, mining and analysis of social behavior pattern. Existing methods mainly focus on the exact matching of polylines which result in the trajectories. However, for the applications like travel/drive behavior analysis, even for objects passing by the same route the trajectories are not the same due to the accuracy of positioning and the fact that objects may move on different lanes of the road. Further, in most cases of spatial data mining, locations and sometimes sequences of locations on trajectories are most important, while how objects move from location to location (the exact geometries of trajectories) is of less interest. For the abovementioned situations, the existing approaches cannot work anymore. In this paper, we propose a grid aware approach to convert trajectories into sequences of codes, so that shape details of trajectories are neglected while emphasizing locations where trajectories pass through. Experiments with Shanghai Float Car Data (FCD) show that the proposed method can calculate trajectories with high similarity if these pass through the same locations. In addition, the proposed methods are very efficient since the data volume is considerably reduced when trajectories are converted into grid-codes.

scholarly journals Approach to Urban Environmental Justice Using Exploratory Spatial Data Analysis. The Case of Valencia’s Monumental Trees

2020 ◽  
Vol 12 (18) ◽  
pp. 7760
Author(s):  
Alfonso Gallego-Valadés ◽  
Francisco Ródenas-Rigla ◽  
Jorge Garcés-Ferrer
Keyword(s):  
Spatial Distribution ◽  
Data Analysis ◽  
Environmental Justice ◽  
Spatial Data ◽  
Urban Trees ◽  
Spatial Data Analysis ◽  
Exploratory Spatial Data Analysis ◽  
The Public ◽  
Object Of Study ◽  
The City

Environmental justice has been a relevant object of analysis in recent decades. The generation of patterns in the spatial distribution of urban trees has been a widely addressed issue in the literature. However, the spatial distribution of monumental trees still constitutes an unknown object of study. The aim of this paper was to analyse the spatial distribution of the monumental-tree heritage in the city of Valencia, using Exploratory Spatial Data Analysis (ESDA) methods, in relation to different population groups and to discuss some implications in terms of environmental justice, from the public-policy perspective. The results show that monumental trees are spatially concentrated in high-income neighbourhoods, and this fact represents an indicator of environmental inequality. This diagnosis can provide support for decision-making on this matter.

scholarly journals ADDING 3D GIS VISUALIZATION AND NAVIGATION TO THE SPARQL QUERY LOOP

2018 ◽  
Vol XLII-4/W8 ◽  
pp. 11-14
Author(s):  
W. Beek ◽  
E. Folmer ◽  
L. Rietveld ◽  
T. Baving ◽  
V. van Altena
Keyword(s):  
Spatial Data ◽  
Linked Data ◽  
3D Visualization ◽  
Open Data ◽  
Sparql Query ◽  
Spatial Data Analysis ◽  
Query Execution ◽  
Data Analyst ◽  
Limited Support ◽  
3D Environments

<p><strong>Abstract.</strong> 3D environments allow advanced spatial navigation and visualization, but have traditionally provided limited support for performing non-spatial data analysis operations like filtering, joining, and integrating data on-the-fly. Linked Open Data provides advanced support for performing filters and joins over datasets that can be dynamically combined through SPARQL federation. Unfortunately, Linked Data results often lack intuitive visualization capabilities, making it relatively difficult to interpret the data for a data analyst. In this paper we present our integration of 3D visualization into the read-evaluate-print-loop of SPARQL query execution. We show how the inclusion of 3D visualization has concrete benefits for the SPARQL query writing process, and how our integrated solution is used to answer specific use cases that could not be answered before.</p>

scholarly journals KERENTANAN SOSIAL TERHADAP BANJIR DI BANTARAN SUNGAI BENGAWAN SOLO PASCA RELOKASI MANDIRI

2017 ◽  
Vol 19 (2) ◽  
pp. 105
Author(s):  
Agustina Setyaningrum ◽  
Dyah Rahmawati H ◽  
Muh. Aris Marfai
Keyword(s):  
Data Analysis ◽  
Spatial Data ◽  
Social Vulnerability ◽  
Random Sampling ◽  
Secondary Data ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Spatial Data Analysis ◽  
Primary Data ◽  
Multi Criteria Evaluation

<p class="judulabstrakindoCxSpFirst"><strong>ABSTRAK</strong></p><p class="abstrak">Banjir besar pada akhir tahun 2007 mengharuskan Pemerintah Kota Surakarta untuk melaksanakan program relokasi paska terjadinya banjir. Masyarakat pindah dan menempati lokasi relokasi namun tidak jauh dari bantaran Sungai Bengawan Solo. Penelitian ini bertujuan untuk menilai tingkat kerentanan sosial masyarakat terhadap banjir pasca relokasi yang bertempat tinggal di sempadan Sungai Bengawan Solo. Data yang digunakan dalam penelitian ini meliputi data primer dan data sekunder. Teknik pengambilan sampel yaitu <em>s</em><em>imple random sampling. </em>Analisis data keruangan dilakukan dengan metode <em>Spatial Multi Criteria Evaluation (SMCE)</em><em>. </em>Penilaian kerentanan dengan menggunakan dua skenario yaitu skenario lingkungan dan skenario ekonomi. Hasil proses SMCE menunjukkan bahwa di lokasi relokasi, terdapat wilayah-wilayah yang masuk dalam kerentanan sosial tinggi dan sedang. Berdasarkan skenario lingkungan, menunjukkan bahwa seluruh kelurahan/desa lokasi relokasi memiliki kerentanan tinggi kecuali Kelurahan Mojosongo yang memiliki kerentanan sedang. Berdasarkan skenario ekonomi, menunjukan lokasi relokasi yang termasuk dalam kerentanan tinggi adalah Kelurahan Semanggi, Jebres, dan Desa Gadingan. Sedangkan lokasi relokasi yang termasuk dalam kerentanan sedang dalam skenario ekonomi adalah Kelurahan Mojosongo, Desa Laban, dan Desa Plumbon.</p><p><strong>Kata k</strong><strong>unci</strong>: kerentanan, banjir, relokasi</p><p class="judulabstrakingCxSpMiddle"><strong>ABSTRACT</strong></p><p class="Abstrakeng">        Great flood at the end of 2007 requires Government of Surakarta to implement the relocation program after the flood. The community moved and occupied the relocation site but not far from the banks of Bengawan Solo River. The aims of the study are to assess the level of social vulnerability after relocation. The data used in this study consist of primary data and secondary data. The sampling technique used in this study was simple random sampling. Spatial data analysis was conducted using Spatial Multi Criteria Evaluation (SMCE). The vulnerability assessment using two scenarios, the environmental scenario and economic scenario. Results of the SMCE showed that in relocation sites there are areas that fall into high and medium social vulnerability. Based on the environmental scenarios, the relocation areas have high vulnerability except for Mojosongo which have moderate vulnerability. Based on the economic scenarios, the relocation area that included in high vulnerability are Semanggi, Jebres, and Gadingan.While the relocation area that included in moderate vulnerability using economic scenario are Mojosongo, Laban, and Plumbon.</p><p><strong><em>Keywords</em></strong><em>: </em><em>vulnerability, flood, relocation </em></p>

scholarly journals THE IMPACTS OF SOCIOECONOMIC FACTORS ON MIGRATION ACROSS TURKISH REGIONS: A SPATIAL DATA ANALYSIS

2016 ◽  
Vol 10 (2) ◽  
Author(s):  
Ilyas Oz ◽  
Fatih Celebioglu
Keyword(s):  
Data Analysis ◽  
Spatial Analysis ◽  
Unemployment Rate ◽  
Spatial Data ◽  
Spatial Data Analysis ◽  
Security Problem ◽  
Spatial Dimensions ◽  
Quality Health ◽  
Choropleth Maps ◽  
High Level

When examining the causes of migration in Turkey, it can be seen that low quality health and education services, imbalanced urbanization, security problem, high level unemployment rate have pivotal role on migration. In the 1950s Turkey, with intensified migration to big cities (mostly to West part of the country), urbanization process has accelerated. This process brought a number of problems with itself.Although many studies have been performed by researchers about migration in Turkey, there is no paper which includes spatial analysis. In this manner, this study purpose to examine the impacts of the factors as unemployment rate, Socio-economic Development Index on migration and their spatial analysis dimensions.To test spatial dimensions of the variables, we perform an exploratory spatial data analysis (ESDA) on migration and other variables among provinces of Turkey. While our choropleth maps indicate that the some part of the country is significantly more developed than the others, the tools of spatial statistics reveal the presence of spatial dependence across provinces. The presence of heterogeneity is reflected in the distribution of LISA statistics. Overall, our results shed new light on the distribution of migration and its relation with the others among provinces across Turkey.

Investigation of Online Learning Satisfaction During COVID 19: In Relation to Academic Achievement

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Abdul Basith ◽  
Rosmaiyadi Rosmaiyadi ◽  
Susan Neni Triani ◽  
Fitri Fitri
Keyword(s):  
Academic Achievement ◽  
Online Learning ◽  
Random Sampling ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Research Data ◽  
Student Academic Achievement ◽  
Learning Satisfaction ◽  
High Level ◽  
The Relationship

The aim of this research is; 1) investigating the level of online learning satisfaction among students during COVID 19; 2) analyzing the influence of differences in gender, years of study, major in determining online learning satisfaction among students during COVID 19; 3) to analyze the relationship between online learning satisfaction and student academic achievement during COVID 19. The population was 656 students at STKIP Singkawang, and then a sample of 357 students (87 males and 270 females) was taken using a simple random sampling technique. The instrument in this study was adapted from Aman's Satisfaction instrument, which was then used to collect research data. Data analysis using SPSS with descriptive statistical techniques, MANOVA, and correlation. The results showed that online learning satisfaction was at a high level, meaning that students were satisfied with the online learning that had been implemented. The major differences have a significant effect on determining online learning satisfaction. Intercorrelation shows that there is a significant relationship on each indicator of online learning satisfaction with academic achievement, meaning that the higher the satisfaction felt by students in online learning, the student's academic achievement will increase.

scholarly journals Community Integration After Traumatic Brain Injury and Related Factors: A Study in the Nepalese Context

2020 ◽  
Vol 6 ◽  
pp. 237796082098178
Author(s):  
Sumana Lama ◽  
Jintana Damkliang ◽  
Luppana Kitrungrote
Keyword(s):  
Social Support ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Health Care Providers ◽  
Physical Environment ◽  
Community Integration ◽  
Sampling Technique ◽  
Care Providers ◽  
Related Factors ◽  
High Level

Introduction Community integration is an essential component for rehabilitation among traumatic brain injury (TBI) survivors, which yields positive outcomes in terms of social activities, community participation, and productive work. A factor that usually facilitates community integration among TBI survivors is social support, whereas physical environment and fatigue are most often found as barriers. Objectives This study aimed to (1) describe the level of community integration, fatigue, physical environment, and social support of persons after TBI, and (2) examine the relationship between community integration and these three factors. Methods This is a descriptive correlational study. One hundred and twenty TBI survivors living in the communities of Province Number Three, Nepal were enrolled using the stratified sampling technique. The data were collected using the Community Integration Questionnaire, Modified Fatigue Impact Scale, Craig Hospital Inventory of Environmental Factors, and the Multidimensional Scale of Perceived Social Support. Descriptive statistics and Pearson’s correlation were used to analyze the data. Results Community integration, fatigue, and physical environment showed a moderate level, while social support revealed a high level. Fatigue was significantly correlated with overall community integration, whereas physical environment was found to correlate with two subscales of community integration, home integration and productive activities. Conclusion To enhance the level of community integration among TBI survivors, health care providers, in particular rehabilitation nurses and community nurses, should plan and implement strategies such as follow-up appointments or continued rehabilitation at home.

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