scholarly journals Spatio-Temporal Analysis of Road Accidents in Abuja, Federal Capital Territory (FCT), Nigeria Using Geographical Information System (GIS) Techniques

2014 ◽  
Vol 3 (12) ◽  
pp. 1665-1688
Author(s):  
Ayo Olajuyigbe
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Temporal Analysis ◽  
Geographical Information ◽  
Road Accidents ◽  
Gis Techniques ◽  
Spatio Temporal

scholarly journals Predicting PM2.5 levels over the north of Iraq using regression analysis and geographical information system (GIS) techniques

2021 ◽  
Vol 12 (1) ◽  
pp. 1778-1796
Author(s):  
Hussein Habeeb Hamed ◽  
Huda Jamal Jumaah ◽  
Bahareh Kalantar ◽  
Naonori Ueda ◽  
Vahideh Saeidi ◽  
...  
Keyword(s):  
Information System ◽  
Regression Analysis ◽  
Geographical Information System ◽  
Geographical Information ◽  
Gis Techniques ◽  
The North

scholarly journals Spatio-Temporal Analysis of Urban Crime Pattern and its Implication for Abuja Municipal Area Council, Nigeria

2017 ◽  
Vol 49 (2) ◽  
pp. 145
Author(s):  
Taiye Oluwafemi Adewuyi ◽  
Patrick Ali Eneji ◽  
Anthonia Silas Baduku ◽  
Emmanuel Ajayi Olofin
Keyword(s):  
Information System ◽  
Spatial Data ◽  
Temporal Analysis ◽  
Urban Crime ◽  
High Rate ◽  
Geographical Information ◽  
Positioning Systems ◽  
Spatio Temporal ◽  
Gis Environment ◽  
Crime Pattern

This study examined the spatio-temporal analysis of urban crime pattern and its implication for Abuja Municipal Area Council of the Federal Capital Territory of Nigeria; it has the aim of using Geographical Information System to improve criminal justice system. The aim was achieved by establishing crime incident spots, types of crime committed, the time it occurred and factors responsible for prevailing crime. The methods for data collection involved Geoinformatics through the use of remote sensing and Global Positioning Systems (GPS) for spatial data. Questionnaires were administered for other attribute information required. The analysis carried out in a Geographic Information System (GIS) environment especially for mapping and the establishment of spatial patterns.  The results indicated that the main types of crime committed were theft and house breaking (42.9%), followed by assault (12.4%), mischief (11.3%), forgery (10.5%), car snatching (9.05%), armed robbery (8.5%), trespass (5.2%) and culpable homicide (0.2%). In terms of hot spots the districts recorded the following: Garki (27.62%), Maitama (25.7%), Utako (24.3%), Wuse (20.9%) and Asokoro district (1.4%) respectively with most of the crime committed during the day time. Many attributed the crimes to mainly high rate of unemployment and poverty (79.1%). Consequently to reduce the crime rate, the socio-economic situation of the city must be improved through properly constructed interventions scheme in areas known to quickly generate employment such as agriculture, small and medium scale enterprises, mining and tourism. 

scholarly journals Spatio-Temporal Modeling of Ozone Distribution in Tehran, Iran Based on Neural Network and Geographical Information System

2022 ◽  
Author(s):  
Leila Sherafati ◽  
Hossein Aghamohammadi Zanjirabad ◽  
Saeed Behzadi
Keyword(s):  
Neural Network ◽  
Information System ◽  
Geographical Information System ◽  
Meteorological Parameters ◽  
Interpolation Method ◽  
Temporal Analysis ◽  
Geographical Information ◽  
Temporal Modeling ◽  
Spatiotemporal Model ◽  
Ozone Distribution

Background: Air pollution is one of the most important causes of respiratory diseases that people face in big cities today. Suspended particulates, carbon monoxide, sulfur dioxide, ozone, and nitrogen dioxide are the five major pollutants of air that pose many problems to human health. We aimed to provide an approach for modeling and analyzing the spatiotemporal model of ozone distribution based on Geographical Information System (GIS). Methods: In the first step, by considering the accuracy of different interpolation methods, the Inverse distance weighted (IDW) method was selected as the best interpolation method for mapping the concentration of ozone in Tehran, Iran. In the next step, according to the daily data of Ozone pollutants, the daily, monthly, and annual mean concentrations maps were prepared for the years 2015, 2016, and 2017. Results: Spatial and temporal analysis of the distribution of ozone pollutants in Tehran was performed. The highest concentrations of O3 are found in the southwest and parts of the central part of the city. Finally, a neural network was developed to predict the amount of ozone pollutants according to meteorological parameters. Conclusion: The results show that meteorological parameters such as temperature, velocity and direction of the wind, and precipitation are influential on O3 concentration.

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