Smart Geographic object: Toward a new understanding of GIS Technology in Ubiquitous Computing

One of the fundamental aspects of ubiquitous computing is the instrumentation of the real world by smart devices. This instrumentation constitutes an opportunity to rethink the interactions between human beings and their environment on the one hand, and between the components of this environment on the other. In this paper we discuss what this understanding of ubiquitous computing can bring to geographic science and particularly to GIS technology. Our main idea is the instrumentation of the geographic environment through the instrumentation of geographic objects composing it. And then investigate how this instrumentation can meet the current limitations of GIS technology, and offers a new stage of rapprochement between the earth and its abstraction. As result, the current research work proposes a new concept we named Smart Geographic Object SGO. The latter is a convergence point between the smart objects and geographic objects, two concepts appertaining respectively to

Climate modification and climate change debates amongst Soviet physical geographers, 1940s-1960s

This review provides an insight into some of the main themes characterizing the work of Soviet physical geographers concerning climate during the decade following the Second World War. Post-1945, pressure was placed upon geography via the state and the Academy of Sciences to ensure that its activities were of practical use to the development of the socialist economy and this was particularly evident in the case of work related to climate and climate modification. The review is divided into four main sections. First, it provides an understanding of the range of work carried out by physical geographers with respect to climate and related phenomena in the late 1940s and 1950s. Second, it focuses on the work of geographers and climatologists in relation to the heat and water balance at the earth's surface, which attracted considerable attention within geographical circles as well as more broadly within Soviet science during the 1950s. Third, it reflects upon the way in which Soviet geography utilized its understanding of climate systems in order to participate in national schemes concerned with the modification of the climate and the transformation of nature. Finally, the review highlights the maturing of climate modification debates among geographers and cognate scientists during the late 1950s and early 1960s with the emergence of competing discussions over the potential for human activity to result in both positive and negative consequences for the global climate system

Predicting Risk for Deer-Vehicle Collisions Using a Social Media Based Geographic Information System

As an experiment investigating social media as a data source for making management decisions, photo sharing websites were searched for data on deer sightings. Data about deer density and location are important factors in decisions related to herd management and transportation safety, but such data are often limited or not available. Results indicate that when combined with simple rules, data from photo sharing websites reliably predicted the location of road segments with high risk for deer-vehicle collisions as reported by volunteers to an internet site tracking roadkill. Use of Google Maps as the GIS platform was helpful in plotting and sharing data, measuring road segments and other distances, and overlaying geographical data. The ability to view satellite images and panoramic street views proved to be a particularly useful. As a general conclusion, the two independently collected sets of data from social media provided consistent information, suggesting investigative value to this data source. Overlaying two independently collected data sets can be a useful step in evaluating or mitigating reporting bias and human error in data taken from social media

The impact of location of the uptake of telephone based healthcare

Telephone healthcare systems have been put forward as a key strategy to overcome geographical disadvantage, however, evidence has suggested that usage decreases with increasing rurality. This research aimed to identify geographical high and low areas of usage of NHS Direct, a leading telephone healthcare provider worldwide to determine if usage is influenced by rurality. National call data was collected (January, 2011) from the NHS Direct Clinical Assessment System for all 0845 4647 calls in England, UK (N=360,137). Data extracted for analysis included; unit postcode of patient, type of call, date of call, time of call and final disposition. Calls were mapped using GIS mapping software using full postcode, aggregated by population estimate by local authority to determine confidence intervals across two thresholds by call rate. Uptake rate Output Area Classification (OAC) group profiles was performed using the chi-square goodness of fit. The majority of calls were ‘symptomatic’ (N=280,055; 74.8%) i.e. calls that were triaged by an expert nurse, with the remaining 25.2% of calls health/ medicine information only (N=94,430). NHS Direct were able to manage through self-care advice and health information 43.5 of all calls made (N=99,367) with no onward referral needed. Geographical pattern of calls were highest for more urbanised areas with significant higher call usage found in larger cities. Lower observed usage was found in areas that are more rural of which were characterised by above average older populations. This was supported by geo-segmentation, which highlighted that rural and older communities had the lowest expected uptake rate. There is a variation of usage of NHS Direct relating to rurality, which suggests that this type of service has not been successful in reducing accessible barriers. However, geographical variations are likely to be influenced by age. There is a need for exploratory to determine the underlying factors that contribute to variation in uptake of these services particularly older people who reside in rural communities. This will have worldwide implications as to how telephone based healthcare is introduced

An interactive learning environment in geographical information systems

The Unigis Learning Station is a computer‐based learning management tool for the Postgraduate Diploma in Geographical Information Systems by distance learning (correspondence). Unigis is an international network of universities co‐operating in the delivery of such courses. The students on Unigis courses are mature mid‐career professionals who study in addition to undertaking full time jobs. The Learning Station offers these students information about the course, resources for independent study, a structured set of exercises, assessments and feedback opportunities, and an integrated and easy way to interact with other course software. Following a brief introduction to the Unigis curriculum, this paper discusses the design of the Learning Station. The roles the Learning Station adopts are outlined, and the range of multimedia and communications tools used discussed. Evaluation of the Learning Station is presented and the issued raised by this provide useful lessons for other computer‐based learning management tools, and the adaptation of the Learning Station to other teaching and learning situations

Environmental urbanization assessment using gis and multicriteria decision analysis: a case study for Denizli (Turkey) municipal area

In recent years, life quality of the urban areas is a growing interest of civil engineering. Environmental quality is essential to display the position of sustainable development and asserts the corresponding countermeasures to the protection of environment. Urban environmental quality involves multidisciplinary parameters and difficulties to be analyzed. The problem is not only complex but also involves many uncertainties, and decision-making on these issues is a challenging problem which contains many parameters and alternatives inherently. Multicriteria decision analysis (MCDA) is a very prepotent technique to solve that sort of problems, and it guides the users confidence by synthesizing that information. Environmental concerns frequently contain spatial information. Spatial multicriteria decision analysis (SMCDA) that includes Geographic Information System (GIS) is efficient to tackle that type of problems. This study has employed some geographic and urbanization parameters to assess the environmental urbanization quality used by those methods. The study area has been described in five categories: very favorable, favorable, moderate, unfavorable, and very unfavorable. The results are momentous to see the current situation, and they could help to mitigate the related concerns. The study proves that the SMCDA descriptions match the environmental quality perception in the city. © 2018 Erdal Akyol et al