Geological applications of Landsat Enhanced Thematic Mapper (ETM) data and Geographic Information System (GIS): Mapping and structural interpretation in south-west Iran, Zagros Structural Belt

2004 ◽  
Vol 25 (21) ◽  
pp. 4715-4727 ◽  
Author(s):  
Syed Ahmad Ali ◽  
Saied Pirasteh
2021 ◽  
Vol 3 (3) ◽  
pp. 84-97
Author(s):  
Nurita Suwanti ◽  
Usman

Currently, there are many information systems that are used to support and solve a problem that usually arises in an organization, company or government agency. One of them is Geographic Information System (GIS) technology which has developed rapidly. Where this system can be a means for delivering information on the location of the location, especially those related to the business of tailoring clothes. This geographic information system for mapping the location of the tailor's location aims to analyze, design and build a geographic information system for mapping the location that can convey information on the location of the tailor, convey complete information about the tailor's location so that it can be spread thoroughly to the public or system users, provide useful information to the public in the process of finding the location of tailors in Tembilahan city based on precise and accurate data. In designing the GIS mapping of the tailor's location, Waterfall is a system development method that functions as a mechanism to identify software, as well as UML (Unified Modeling Language) as modeling, and uses the PIECES method to facilitate researchers in building systems. With the geographical information system mapping the location of this tailor, the delivery of information about the tailor's place can be spread thoroughly to the community or system users.   Keywords:  System, Information, Geographic Information System, Tailor,WebGis.  


Author(s):  
George Steve Tsagaris ◽  
Mamadou Mansor Seck ◽  
Janet Keeler ◽  
Robert Rowe

Purpose – Adult offenders diagnosed with developmental disabilities have been referred for services to a Northeast Ohio county agency. The purpose of this paper is to examine their repartition in the three areas of the county as determined by zip codes, their involvement with the criminal justice system, types of offenses they committed, their indictment, and the court outcomes. Design/methodology/approach – This study used a geographic information system (GIS) mapping based on secondary data collected from the 2008 to 2012 American Community Survey and a random sample of 160 participants selected from an agency database including 850 clients. Findings – The authors found that the concentrations of offenders in the core city, inner, and outer suburbs of the county were, respectively 71.7, 19.6, and 8.7 percent. The largest racial groups included African Americans (112; 70 percent) and Whites (33; 20.6 percent). Male offenders (155; 96.9 percent) outnumbered female offenders. Of the offenses committed, 42.9 percent were crimes against persons including kidnapping, abduction, assault, followed by crimes against property (22.2 percent), and crimes against society (26.4 percent). As they appeared before Mental Health Court or Non Mental Health Court judges, the court outcome evolved from community control for six months to prison sentence of 120 months. Research limitations/implications – These findings will enable agency professionals to look for protective as well as risk factors that are prevalent in each area of this NEO county and make plans for more effective, preventative, and clinical service provision. Originality/value – The use of GIS for data analysis represents an innovation in the research field involving adult offenders with developmental disability as it allows professionals to look for protective as well as risk factors that are prevalent in their clients’ immediate environment.


2021 ◽  
Vol 115 (1) ◽  
pp. 5-16
Author(s):  
Elyse Connors ◽  
Amber E. Willard ◽  
Kathleen M. Baker ◽  
Katie Debiak ◽  
Renee Beranek ◽  
...  

Introduction: The number of adults with visual impairments (i.e., blindness or low vision) is increasing, especially with the aging of the population. Although awareness of vision loss as a public health problem is growing, public health budgets are decreasing. This study exemplifies the use of publicly available secondary data and geographic information system (GIS) mapping to spatially map areas of potential higher risk for vision loss and identify where specialized, low vision resources are located, by county, in Michigan. Methods: County-level, publicly available data on risk factors for low vision (health and demographic) and specialized low vision resources (medical, rehabilitation, and community) are extracted from existing public health data sets and information published on the Internet. GIS mapping is applied to visually examine potential areas of disparity between need and resources. Results: Broadly speaking, counties in Michigan with the highest number of risk factors for low vision are clustered in the center of the Lower Peninsula and on the eastern and western ends of the Upper Peninsula. Areas that have fewer resources for low vision are clustered in the thumb area and the middle to upper part of the Lower Peninsula. Resources are concentrated near the state’s metropolitan areas (i.e., Detroit and suburbs, Kalamazoo, and Grand Rapids). Discussion: Maps can be helpful in locating areas of health disparities, but they need to be interpreted carefully such as by considering the county’s population size. Understanding the eligibility criteria of available services can help to uncover groups of persons not being served. Implications for practitioners: With increasing need for services and shrinking budgets, strategic planning may help alleviate anticipated shortfalls in available services. Use of publicly available data and GIS mapping may be an affordable and efficient method to identify areas of need and resources, for targeted public health efforts in vision.


2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Ekarat Sombatsawat ◽  
Dana Boyd Barr ◽  
Parinya Panuwet ◽  
Mark Gregory Robson ◽  
Wattasit Siriwong

AbstractThe objectives of the study were to evaluate the impact of pesticide exposure on farmer health during non-active rice farming and active rice farming periods and present the change in the individual cholinesterase activities (%reduction) on the geographic information system (GIS) mapping in Nakhon Ratchasima Province, Thailand. Acetyl- and butyryl-cholinesterase (AChE and BuChE) activities were monitored during both study periods using Test-mate ChE (Model 400). The location of paddy fields was specified using Garmin geographic positioning system MAP 62s. Fifty-eight farmers who participated in this study had an average age of 49.2 ± 6.9 years. Higher prevalence of all health symptoms was observed among farmer participants during the active rice farming period comparing to the non-active rice farming period (p < 0.01). Furthermore, farmers had significantly lower activities of AChE and BuChE during the active rice farming period comparing to the non-active rice farming period (p < 0.01). Our findings indicate that the GIS mapping indicate that the cases with a significant enzyme inhibition have dispersed across the agricultural and the nearby residential areas. This, investigation can be used to promote safer use of pesticides among farmers and mitigate pesticide exposure among residents living in close proximity to a rice field.


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