SISTEM INFORMASI GEOGRAFIS WILAYAH RAWAN BANJIR DI KOTA PEKANBARU

Based on the geographical location of Pekanbaru City is one of the areas included in flood-prone areas, even said that the city of Pekanbaru is included in the red zone related to flooding, seeing from the majority of the existing area is the rawah and river banks. The National Flood Mitigation Agency (BNPB) noted that the city of Pekanbaru is one of the flood-prone cities on the island of Sumatra. In addition to determining flood-prone areas for the Regional BPBD Office in Pekanbaru City, the community also wants to know the location that often floods and determine the long-term rain intensity capacity that will cause flooding, so that it does not hinder the daily activities. To deal with this problem, a Geographical Information System needs to be developed that can determine areas that often occur in natural flooding. Geographical information systems are expected to be able to assist the BPBD Office in managing flood data that has occurred in the city of Pekanbaru, and help provide information about floods that are needed by the community to anticipate further flood events.

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Street context of various demographic groups in their daily mobility

Applied Network Science ◽

10.1007/s41109-021-00382-7 ◽

2021 ◽

Vol 6 (1) ◽

Author(s):

Ariel Salgado ◽

Weixin Li ◽

Fahad Alhasoun ◽

Inés Caridi ◽

Marta Gonzalez

Keyword(s):

Geographical Information Systems ◽

Building Blocks ◽

Geographical Information ◽

Unified Framework ◽

Demographic Groups ◽

Daily Mobility ◽

Urban Science ◽

Science Framework ◽

The City ◽

Racial Ethnic

AbstractWe present an urban science framework to characterize phone users’ exposure to different street context types based on network science, geographical information systems (GIS), daily individual trajectories, and street imagery. We consider street context as the inferred usage of the street, based on its buildings and construction, categorized in nine possible labels. The labels define whether the street is residential, commercial or downtown, throughway or not, and other special categories. We apply the analysis to the City of Boston, considering daily trajectories synthetically generated with a model based on call detail records (CDR) and images from Google Street View. Images are categorized both manually and using artificial intelligence (AI). We focus on the city’s four main racial/ethnic demographic groups (White, Black, Hispanic and Asian), aiming to characterize the differences in what these groups of people see during their daily activities. Based on daily trajectories, we reconstruct most common paths over the street network. We use street demand (number of times a street is included in a trajectory) to detect each group’s most relevant streets and regions. Based on their street demand, we measure the street context distribution for each group. The inclusion of images allows us to quantitatively measure the prevalence of each context and points to qualitative differences on where that context takes place. Other AI methodologies can further exploit these differences. This approach presents the building blocks to further studies that relate mobile devices’ dynamic records with the differences in urban exposure by demographic groups. The addition of AI-based image analysis to street demand can power up the capabilities of urban planning methodologies, compare multiple cities under a unified framework, and reduce the crudeness of GIS-only mobility analysis. Shortening the gap between big data-driven analysis and traditional human classification analysis can help build smarter and more equal cities while reducing the efforts necessary to study a city’s characteristics.

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A Geospatial database of gastric cancer patients and associated potential risk factors including lifestyle and air pollution

BMC Research Notes ◽

10.1186/s13104-021-05506-x ◽

2021 ◽

Vol 14 (1) ◽

Author(s):

Fatemeh Hashemi Amin ◽

Mahtab Ghaemi ◽

Sayyed Mostafa Mostafavi ◽

Ladan Goshayeshi ◽

Khadijeh Rezaei ◽

...

Keyword(s):

Risk Factors ◽

Gastric Cancer ◽

Cancer Patients ◽

Spatial Data ◽

Geographical Information Systems ◽

Dietary Habits ◽

Age Groups ◽

Geographical Location ◽

Geographical Information ◽

Point Feature

Abstract Objectives Gastric cancer (GC) is a multifactorial disease and the fifth most frequent diagnosed cancer worldwide. It accounts for one third of cancer-related mortalities. Geospatial analysis using geographical information systems (GIS) can provide an efficient solution to identify spatial disparities associated with GC. As such, GIS enables policymakers to control cancer in a better way and identify the regions where interventions are needed. This study aims to publish a comprehensive dataset, which was applied to conduct a spatial analysis of GC patients in the city of Mashhad, Iran. Data description We provide a personal geodatabase, a Microsoft Access database that can store, query, and manage both spatial and non-spatial data, which contains four feature classes. “Male_Stomach_Cancer_Patients” and “Female_Stomach_Cancer_Patients” are point feature classes, which show the age and geographical location of 1156 GC cancer patients diagnosed between 2014 and 2017. “Air_Polution_Mashhad” is another point feature class that reveals the amount of six air pollutants, which was taken from Mashhad Environmental Pollutants Monitoring Center between 2017 and 2018. Finally, “Stomach_Cancer_and_Risk_Factors” is a polygon feature class of neighborhood division of Mashhad, consisting of contributor risk factors including dietary habits, smoking, alcohol use, body mass index and population by age groups for all 165 city neighborhoods.

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GIS-BASED INFECTIOUS DISEASE DATA MANAGEMENT ON A CITY SCALE, CASE STUDY OF ST. PETERSBURG, RUSSIA

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xliii-b3-2020-1463-2020 ◽

2020 ◽

Vol XLIII-B3-2020 ◽

pp. 1463-1467

Author(s):

I. Kuznetsov ◽

E. Panidi ◽

A. Kolesnikov ◽

P. Kikin ◽

V. Korovka ◽

...

Keyword(s):

Infectious Diseases ◽

Geographical Information Systems ◽

Medical Data ◽

Geographical Information ◽

Infrastructure Development ◽

Collection System ◽

Medical Infrastructure ◽

Availability Assessment ◽

The City

Abstract. Medical geography and medical cartography can be denoted as classical application domains for Geographical Information Systems (GISs). GISs can be applied to retrospective analysis (e.g., human population health analysis, medical infrastructure development and availability assessment, etc.), and to operative disaster detection and management (e.g., monitoring of epidemics development and infectious diseases spread). Nevertheless, GISs still not a daily-used instrument of medical administrations, especially on the city and municipality scales. In different regions of the world situation varies, however in general case GIS-based medical data accounting and management is the object of interest for researchers and national administrations operated on global and national scales. Our study is focused onto the investigation and design of the methodology and software prototype for GIS-based support of medical administration and planning on a city scale when accounting and controlling infectious diseases. The study area is the administrative territory of the St. Petersburg (Russia). The study is based upon the medical statistics data and data collection system of the St. Petersburg city. All the medical data used in the study are impersonalized accordingly to the Russian laws.

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Spatial Analysis of Seasonal Precipitation Using Various Interpolation Methods in the Euphrates Basin, Turkey

10.21203/rs.3.rs-809129/v1 ◽

2021 ◽

Author(s):

Okan Mert Katipoğlu

Keyword(s):

Spatial Distribution ◽

Geographical Information Systems ◽

Polynomial Interpolation ◽

Estimation Method ◽

Summer Precipitation ◽

Winter Precipitation ◽

Geographical Information ◽

Seasonal Precipitation ◽

Interpolation Methods

Abstract It is vital to accurately map the spatial distribution of precipitation, which is widely used in many fields such as hydrology, climatology, meteorology, ecology, and agriculture. In this study, it was aimed to reveal the spatial distribution of seasonal long-term average precipitation in the Euphrates Basin by using various interpolation methods. For this reason, Simple Kriging (SK), Ordinary Kriging (OK), Universal Kriging (UK), Ordinary CoKriging (OCK), Empirical Bayesian Kriging (EBK), Radial Basis Functions (Completely Regularized Spline (CRS), Thin Plate Spline (TPS), Multiquadratic, Inverse Multiquadratic (IM), Spline with Tensor (ST)), Local Polynomial Interpolation (LPI), Global Polynomial Interpolation (GPI), Inverse Distance Weighting (IDW) methods have been applied in the Geographical Information Systems (GIS) environment. Long-term seasonal precipitation averages between 1966 and 2017 are presented as input for the prediction of precipitation maps. The accuracy of the precipitation prediction maps created was based on root mean square error (RMSE) values obtained from the cross-validation tests. The method of precipitation by interpolation yielding the lowest RMSE was selected as the most appropriate method. As a result of the study, OCK in spring and winter precipitation, LPI in summer precipitation, and OK in autumn precipitation were determined as the most appropriate estimation method.

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Geographical Analysis of Entertainment Services in the City of Daratu Using Geographical Information Systems (GIS)

Journal of Raparin University ◽

10.26750/vol(8).no(3).paper28 ◽

2021 ◽

Vol 8 (3) ◽

pp. 618-644

Author(s):

Hoshmand Jawhar Abbas ◽

Sanger Ahmed Hussein ◽

Fatimah Qader Mustafa

Keyword(s):

Geographical Information Systems ◽

Urban Expansion ◽

Well Being ◽

Geographical Information ◽

Population Increase ◽

Recreational Facilities ◽

Financial Gain ◽

Recreational Services ◽

The Impact ◽

The City

The impact of the recreational services that exist within the group of services that are practiced within the geographical framework of the city, is not limited to the lives of its residents and their activities, but also on the residents of the surrounding areas. Recreational services contribute to providing diversified investment opportunities for leisure time, so that they are appropriate and beneficial to the health, comfort and well-being of the population at the lowest possible cost, without the goal of their establishment being financial gain, as they lead to the creation of mental, psychological and physical balance on the level of one individual and on the basis of society in a way. In general, recreational services are an integral part of urban activities in most cities of the world. Rather, the concept of modernity and urbanization in contemporary urban centers is measured to some extent by the availability of recreational facilities for their inhabitants, and the study also showed the low level of efficiency of recreational services in terms of their spatial distribution and numbers. As it is concentrated in some neighborhoods of the city, while it is less or absent in other neighborhoods, as well as not taking into account the planning standards in its distribution and during its construction in line with the population increase, urban expansion and the residents' needs for these services. The success in providing these different types of recreational facilities depends on how they are distributed geographically. The balanced distribution of these activities determines the success of the adopted plans in achieving the required goals and policies.

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Voices That Matter: Chief Administrative Officers’ Role in the Student Discipline Gap

Urban Education ◽

10.1177/0042085916651319 ◽

2016 ◽

Vol 55 (1) ◽

pp. 66-94 ◽

Cited By ~ 2

Author(s):

Ani N. Shabazian

Keyword(s):

Geographical Information Systems ◽

Belief Systems ◽

Geographical Location ◽

Productive Efficiency ◽

Geographical Information ◽

Student Discipline ◽

Normative Values ◽

Discipline Gap ◽

Mapping Technology ◽

Systems Mapping

This study explores how community socioeconomic status (SES), geographical location, and administrator perspectives influence the implementation of exclusionary disciplinary policies. Using Geographical Information Systems mapping technology, in-depth interviewing, and document analysis, this study finds that schools located in high SES sectors have higher rates of exclusionary disciplinary practices, whereas schools located in low SES sectors have lower levels. The findings also indicate five normative values that influence leadership’s decisions to exclude students more frequently. These guiding belief systems include productive efficiency, equality versus equity, the potential of legal liability, prescribing to a cultural deficit ideology, and the notion of strict surveillance.

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Statistical and Spatial Analysis of Hurricane-induced Roadway Closures and Power Outages

Energies ◽

10.3390/en13051098 ◽

2020 ◽

Vol 13 (5) ◽

pp. 1098 ◽

Cited By ~ 2

Author(s):

Mahyar Ghorbanzadeh ◽

Mohammadreza Koloushani ◽

Mehmet Baran Ulak ◽

Eren Erman Ozguven ◽

Reza Arghandeh Jouneghani

Keyword(s):

Spatial Analysis ◽

Geographical Information Systems ◽

Density Ratio ◽

Geographical Information ◽

Second Step ◽

Power Outages ◽

The Us ◽

Infrastructure System ◽

Detailed Assessment ◽

The City

Hurricanes lead to substantial infrastructure system damages, such as roadway closures and power outages, in the US annually, especially in states like Florida. As such, this paper aimed to assess the impacts of Hurricane Hermine (2016) and Hurricane Michael (2018) on the City of Tallahassee, the capital of Florida, via exploratory spatial and statistical analyses on power outages and roadway closures. First, a geographical information systems (GIS)-based spatial analysis was conducted to explore the power outages and roadway closure patterns in the city including kernel density estimation (KDE) and density ratio difference (DRD) methods. In order to provide a more detailed assessment on which population segments were more affected, a second step included a statistical analysis to identify the relationships between demographic- and socioeconomic-related variables and the magnitude of power outages and roadway closures caused by these hurricanes. The results indicate that the high-risk locations for roadway closures showed different patterns, whereas power outages seemed to have similar spatial patterns for the hurricanes. The findings of this study can provide useful insights and information for city officials to identify the most vulnerable regions which are under the risk of disruption. This can lead to better infrastructure plans and policies.

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The Provision and Accessibility to Parks in Ho Chi Minh City: Disparities along the Urban Core—Periphery Axis

Urban Science ◽

10.3390/urbansci3010037 ◽

2019 ◽

Vol 3 (1) ◽

pp. 37 ◽

Cited By ~ 1

Author(s):

Anh Hoang ◽

Philippe Apparicio ◽

Thi-Thanh-Hien Pham

Keyword(s):

Geographical Information Systems ◽

Hierarchical Classification ◽

Spatial Accessibility ◽

Geographical Information ◽

Ho Chi Minh City ◽

Urban Core ◽

Different Types ◽

Ascending Hierarchical Classification ◽

The City

In Ho Chi Minh City (HCMC, Vietnam), there is now an urgent need for evaluating access to parks in an effort to ensure better planning within the context of rapid and increasingly privatized urbanization. In this article, we analyze the provision and accessibility to parks in HCMC. To achieve this, the information gathered was then integrated into the geographical information systems (GISs). Based on an Ascending Hierarchical Classification, we were able to identify five different types ranging in their intrinsic characteristics. The accessibility measurements calculated in the GISs show that communities are located an average of at least 879 meters away from parks, which is a relatively short distance. Children have a level of accessibility comparable to that of the overall population. Accessibility also seems to vary greatly throughout the City—populations residing in central districts (planned before 1996) enjoy better accessibility compared to those in peripheral neighborhoods (planned after 1996). Parks located in areas planned between 1996 and 2002 are the least accessible, followed by parks in areas planned after 2003. Our findings suggest possible approaches that could be used to help ensure the quality of parks and their spatial accessibility.

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Smart Solutions for Sustainable Cities—The Re-Coding Experience for Harnessing the Potential of Urban Rooftops

Applied Sciences ◽

10.3390/app10207112 ◽

2020 ◽

Vol 10 (20) ◽

pp. 7112

Author(s):

Valeria Todeschi ◽

Guglielmina Mutani ◽

Lucia Baima ◽

Marianna Nigra ◽

Matteo Robiglio

Keyword(s):

Energy Efficiency ◽

Renewable Energy ◽

Greenhouse Gas Emissions ◽

Greenhouse Gas ◽

Geographical Information Systems ◽

Urban Landscape ◽

Geographical Information ◽

Renewable Energy Resources ◽

Gas Emissions ◽

The City

Urban rooftops are a potential source of water, energy, and food that contribute to make cities more resilient and sustainable. The use of smart technologies such as solar panels or cool roofs helps to reach energy and climate targets. This work presents a flexible methodology based on the use of geographical information systems that allow evaluating the potential use of roofs in a densely built-up context, estimating the roof areas that can be renovated or used to produce renewable energy. The methodology was applied to the case study of the city of Turin in Italy, a 3D roof model was designed, some scenarios were investigated, and priorities of interventions were established, taking into account the conditions of the urban landscape. The applicability of smart solutions was conducted as a support to the review of the Building Annex Energy Code of Turin, within the project ‘Re-Coding’, which aimed to update the current building code of the city. In addition, environmental, economic, and social impacts were assessed to identify the more effective energy efficiency measures. In the Turin context, using an insulated green roof, there was energy saving in consumption for heating up to 88 kWh/m2/year and for cooling of 10 kWh/m2/year, with a reduction in greenhouse gas emissions of 193 tCO2eq/MWh/year and 14 tCO2eq/MWh/year, respectively. This approach could be a significant support in the identification and promotion of energy efficiency solutions to exploit also renewable energy resources with low greenhouse gas emissions.

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Application of geographical information systems for the optimal location of a commercial network

European Journal of Management and Business Economics ◽

10.1108/ejmbe-07-2017-013 ◽

2017 ◽

Vol 26 (2) ◽

pp. 220-237 ◽

Cited By ~ 2

Author(s):

Vicente Rodríguez ◽

Cristina Olarte-Pascual ◽

Manuela Saco

Keyword(s):

Geographical Information Systems ◽

Spatial Competition ◽

Geographical Location ◽

Optimal Location ◽

Geographical Information ◽

Local Optimum ◽

Market Demand ◽

Joint Research ◽

Content Type ◽

Commercial Network

Purpose The purpose of this paper is to study the optimization of the geographical location of a network of points of sale, so that each retailer can have access to a potential geographic market. In addition, the authors study the importance of the distance variable in the commercial viability of a point of sale and a network of points of sale, analysing if the best location for each point (local optimum) is always the best location for the whole (global optimum). Design/methodology/approach Location-allocation models are applied using p-median algorithms and spatial competition maximization to analyse the actual journeys of 64,740 car buyers in 1240 postal codes using a geographic information system (GIS) and geomarketing techniques. Findings The models show that the pursuit of individual objectives by each concessionaire over the collective provides poorer results for the whole network of points of sale when compared to coordinated competition. The solutions provided by the models considering geographic and marketing criteria permit a reduction in the length of journeys made by the buyers. GIS allows the optimal control of market demand coverage through the collaborative strategies of the supplying retailers, in this case, car dealerships. Originality/value The paper contributes to the joint research of geography and marketing from a theoretical and practical point of view. The main contribution is the use of information on actual buyer journeys for the optimal location of a network of points of sale. This research also contributes to the analysis of the correlation between the optimum local and optimum global locations of a commercial network and is a pioneering work in the application of these models to the automotive sector in the territorial area of the study.

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