BIBLIOMETRIC MAPPING OF PAPERS ON GEOGRAPHICAL INFORMATION SYSTEMS (2007-2016)

The amount of researchers and scientific papers rapidly grows, annually. The metrics to analyze the quality and quantity of these publications have consolidated in the academic world. A bibliometric mapping of scientific papers on Geographic Information Systems (GIS) published between 2007 and 2016 was carried out. The sample analyzed 2,053 papers, extracted from twenty journals of the Web of Science Core Collection platform. The following were evaluated: total number of publications, production by area of knowledge and by country, authors, periodicals and the most cited words. The results shows that 2012 and 2013 were the most productive periods, and that the annual growth rate of publication was 1.8%. The most significant academic areas were Geography, Computer Science, Physical Geography, and Environmental Sciences/Ecology. The three major publishing clusters were North America, Western Europe, and Eastern Asia. The International Journal of Geographic Information Science was considered the most important journal. The most relevant topics were cellular automata, relationship between GIS and users, integration of GIS with remote sensing, different land use classification methods, and critical reflections on technologies and GIS

Formalizing space and place

International audienceThe space/place dichotomy has long been recognized in geography, and more broadly in the social sciences. The geographic information technologies that have emerged in the past few decades are almost exclusively spatial, however. The concepts, principles, and tools of the spatial perspective are reviewed, along with their importance in facilitating multidisciplinary social science. Arguments for a comparable placial perspective are presented and discussed

Improving the efficiency of Market Information Analysis Systems using GIS, Polygon and Spatial Databases

An organization's future developments are influenced by its managements' decisions. This can only happen by strengthening research and development strategies. Market monitoring and analyzing systems are designed to provide an organized flow of information to enable and support the marketing activities of an organization. In recent years the development of Market Information Analysis Systems (MIASs) to monitor and control the market has been significantly increased. However, the concept of such systems is not new and has been around for many years. Early systems were paper-based but, with the advancement of computing and information technology these systems have become more electronic and (semi) automated in nature. This paper presents a MIAS for Samsung Company in Iran which uses Geographic Information Systems (GIS), Polygon, and Spatial Databases as a component to improve the efficiency of market information analysis and monitoring systems. It also reviews the technical capabilities of GIS, Polygon, and Spatial Databases and shows how these capabilities align with accepted elements of MIAS. © 2013 IEEE

From pixels to grixels: a unified functional model for geographic-object-based image analysis

Geographic Object-Based Image Analysis (GEOBIA) aims to better exploit earth remotely sensed imagery by focusing on building image-objects resembling the real-world objects instead of using raw pixels as basis for classification. Due to the recentness of the field, concurrent and sometimes competing methods, terminology, and theoretical approaches are evolving. This risk of babelization has been identified as one of the central threats for GEOBIA, as it could hinder scientific discourse and the development of a generally accepted theoretical framework. This paper contributes to the definition of such ontology by proposing a general functional model of the remote sensing image analysis. The model compartmentalizes the remote sensing process into six stages: (i) sensing the earth surface in order to derive pixels which represent incomplete data about real-world objects; (ii) pre-processing the pixels in order to remove atmospheric, geometric, and radiometric distortions; (iii) grouping the pre-processed pixels (prixels) to produce image-objects (grouped pixels or grixels) at one or several scales; (iv) feature analysis to examine and measure relevant spectral, geometric and contextual properties and relationships of grixels in order to produce feature vectors (vexcels) and decision rules for subsequent discrimination; (v) assignation of grixels to pre-defined qualitative or quantitative land cover classes, thus producing pre-objects (preliminary objects); and (vi) post-processing to refine the previous results and output the geographic objects of interest. The grouping stage may be analized from two different perpectives: (i) discrete segmentation which produces well-defined image-objects, and (ii) continuous segmentation which produces image-fields with indeterminate boundaries. The proposed generic model is applied to analyze two specific GEOBIA software implementations. A functional decomposition of discrete segmentation is also discussed and tested. It is concluded that the proposed framework enhances the evaluation and comparison of different GEOBIA approaches and by this is helping to establish a generally accepted ontology

Human geography with geographical information systems

Часопис соціально-економічної географії: Міжрегіональний збірник наукових праць. – Харків: Харківський національний університет імені В.Н. Каразіна, 2013.The purpose of this paper is to represent that a GIS in human geography is not only a straightforward tool for generating and spatially analysing maps and graphics, but also is intended to identify certain spatial samples and to form new spatial derivative data for reaching advances in human geography research. Digital maps introduced as a paper map effective alternative made possible by GIS. Once introduced by the authors environmental geography concept is additionally discussed purely of human geography contribution to this field by geographical information systems. Traditional quantitative geography is explained to be a key basic for all following GIS applications in geographic sciences. The conclusion is made this field is highly essential for the further GISexpansion within human geography. Few examples of original software with respect of city key element extraction are suggested for the urban system analysis

Geographical Information Systems: the past, present and future

The main challenges of the XXI century are caused by the large amount of geospatial information through a GIS. Throughout time there have been many attempts to define Geographic Information Systems (GIS). Yet there is still no consensus on its definition and to restrict it to one is limited. In the acronym - Geographic Information Systems - geographic refers to the Earth's surface and near-surface, therefore, all human production and activity, as well as non-human are possible to spatialize using GIS.info:eu-repo/semantics/publishedVersio

Multi-scale analysis of linear data in a two-dimensional space

Many disciplines are faced with the problem of handling time-series data. This study introduces an innovative visual representation for time series, namely the continuous triangular model. In the continuous triangular model, all subintervals of a time series can be represented in a two-dimensional continuous field, where every point represents a subinterval of the time series, and the value at the point is derived through a certain function (e. g. average or summation) of the time series within the subinterval. The continuous triangular model thus provides an explicit overview of time series at all different scales. In addition to time series, the continuous triangular model can be applied to a broader sense of linear data, such as traffic along a road. This study shows how the continuous triangular model can facilitate the visual analysis of different types of linear data. We also show how the coordinate interval space in the continuous triangular model can support the analysis of multiple time series through spatial analysis methods, including map algebra and cartographic modelling. Real-world datasets and scenarios are employed to demonstrate the usefulness of this approach