scholarly journals GIS Mapping of Driving Behavior Based on Naturalistic Driving Data

2019 ◽  
Vol 8 (5) ◽  
pp. 226 ◽  
Author(s):  
José Balsa-Barreiro ◽  
Pedro M. Valero-Mora ◽  
José L. Berné-Valero ◽  
Fco-Alberto Varela-García
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Driving Behavior ◽  
Geographic Information ◽  
Limited Resources ◽  
Gis Mapping ◽  
Research Groups ◽  
Naturalistic Driving ◽  
Gis Software ◽  
Operational Capacity

Naturalistic driving can generate huge datasets with great potential for research. However, to analyze the collected data in naturalistic driving trials is quite complex and difficult, especially if we consider that these studies are commonly conducted by research groups with somewhat limited resources. It is quite common that these studies implement strategies for thinning and/or reducing the data volumes that have been initially collected. Thus, and unfortunately, the great potential of these datasets is significantly constrained to specific situations, events, and contexts. For this, to implement appropriate strategies for the visualization of these data is becoming increasingly necessary, at any scale. Mapping naturalistic driving data with Geographic Information Systems (GIS) allows for a deeper understanding of our driving behavior, achieving a smarter and broader perspective of the whole datasets. GIS mapping allows for many of the existing drawbacks of the traditional methodologies for the analysis of naturalistic driving data to be overcome. In this article, we analyze which are the main assets related to GIS mapping of such data. These assets are dominated by the powerful interface graphics and the great operational capacity of GIS software.

scholarly journals Extraction of Naturalistic Driving Patterns with Geographic Information Systems

2020 ◽  
Author(s):  
José Balsa-Barreiro ◽  
Pedro M. Valero-Mora ◽  
Mónica Menéndez ◽  
Rashid Mehmood
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Smart Cities ◽  
Spatial Scales ◽  
Geographic Information ◽  
Small Population ◽  
Driving Patterns ◽  
Valid Data ◽  
Naturalistic Driving ◽  
Definition Of

Abstract A better understanding of Driving Patterns and their relationship with geographical driving areas could bring great benefits for smart cities, including the identification of good driving practices for saving fuel and reducing carbon emissions and accidents. The process of extracting driving patterns can be challenging due to issues such as the collection of valid data, clustering of population groups, and definition of similar behaviors. Naturalistic Driving methods provide a solution by allowing the collection of exhaustive datasets in quantitative and qualitative terms. However, exploiting and analyzing these datasets is complex and resource-intensive. Moreover, most of the previous studies, have constrained the great potential of naturalistic driving datasets to very specific situations, events, and/or road sections. In this paper, we propose a novel methodology for extracting driving patterns from naturalistic driving data, even from small population samples. We use Geographic Information Systems (GIS), so we can evaluate drivers’ behavior and reactions to certain events or road sections, and compare across situations using different spatial scales. To that end, we analyze some kinematic parameters such as speeds, acceleration, braking, and other forces that define a driving attitude. Our method favors an adequate mapping of complete datasets enabling us to achieve a comprehensive perspective of driving performance.

Directionals, episodic structure, and geographic information systems: Area/punctual distinctions in Ahtna travel narration

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Andrea L. Berez
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Native Speakers ◽  
Geographic Information ◽  
Spatial Language ◽  
The Past ◽  
Southcentral Alaska ◽  
Concurrent Development ◽  
User Friendly ◽  
Gis Software

AbstractInterest in the past decades in the way spatial cognition manifests in language has led to a growing body of literature on the topic. The concurrent development of user-friendly geographic information systems (GIS) software can give linguists new perspectives on spatial language, especially narratives describing geographic landscapes, by allowing the researcher access to those landscapes in a way that was previously only available by visiting the region in person. In this paper, I discuss how the use of GIS reveals that Ahtna speakers use subtle distinctions in the directional system to structure discourse about overland travel into narrative episodes. Ahtna is an Athabascan language spoken in the Copper River area of southcentral Alaska by about 35 native speakers.

scholarly journals Integración de SIG con visualización 3D interactiva para la gestión y seguimiento de excavaciones arqueológicas

2012 ◽  
Vol 3 (5) ◽  
pp. 58 ◽  
Author(s):  
Antonio José Seoane Nolasco ◽  
Luis Antonio Hernández Ibáñez
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Information Management ◽  
Three Dimensional ◽  
Geographic Information ◽  
Visualization System ◽  
Geographical Data ◽  
Galician Coast ◽  
Gis Software ◽  
Management Capabilities

<p>Geographic Information Systems (GIS) provide large information management capabilities. However, in many cases the feature of the visualization of this data over a huge detailed three-dimensional terrain does not exist or are limited, wich can be very useful or desirable in many applications. This paper presents the integration of SANTI, a three-dimensional visualization system of large terrain areas and geographical data, with gvSIG, a free GIS software. We describe the capabilities of the visualization system, the approach to connect the two systems and how it is applied to a project in development for the management of the excavation of the Castro de la Lanzada located at the Galician coast (Spain).</p>

scholarly journals Pengaruh Perubahan Penggunaan Lahan Terhadap Insiden Penyakit Tuberkulosis Paru: Studi Di Provinsi Lampung

2017 ◽  
Vol 5 (1) ◽  
pp. 71
Author(s):  
Rita Rosari ◽  
Samsul Bakri ◽  
Trio Santoso ◽  
Dyah W.S.R Wardani
Keyword(s):  
Land Use ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Healthy Lifestyle ◽  
Land Use Changes ◽  
Geographic Information ◽  
Forest Plantation ◽  
Community Forest ◽  
Gis Software ◽  
Density Population

Deforestation and land conversion is one of the effects of high nativity rates and urbanizationthat affect the ecological situation.  The imbalance of ecological system become a factor ofincreasing pulmunary Tuberkulosis incidence (TB).  TB is a disease of pulmunary infectionsthat caused by the bacterium Mycobacterium tuberculosis, and it is spread directly.  Thisresearch was conducted to determine the contribution of land use changes incidence of TB inthe Lampung Province.  Land use changes be resultant through landsat imegeryinterpretation utilize Geographic Information Systems (GIS) software.  Parameter usedstatistical software, used the F test on the real level of 10%.  The result showed that therewere several factors that have real influence, namely; community forest with a coefficient of 1.0314(Pvalue=0.040), Clean and Healthy Lifestyle (PHBS) coefficient of -0.3691 (Pvalue=0.042), density population coefficient of 0.011661 (Pvalue=0.008) and the percentage of poorresident coefficient of 0.6641 (Pvalue=0.006).  While forest, plantation, developed land, healthfacility and healthy house did not have significant effect toward incidence of TB in Lampung Province.Keywords : deforestation, geographic information systems(GIS), incidence of TB, land use.

Use of Geographic Information Systems Technology To Track Critical Health Code Violations in Retail Facilities Available to Populations of Different Socioeconomic Status and Demographics

2011 ◽  
Vol 74 (9) ◽  
pp. 1524-1530 ◽  
Author(s):  
VALERIE L. DARCEY ◽  
JENNIFER J. QUINLAN
Keyword(s):  
Socioeconomic Status ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Food Service ◽  
Geographic Information ◽  
Gis Mapping ◽  
Poverty Level ◽  
Census Tracts ◽  
Poverty Areas ◽  
Code Violations

Research shows that community socioeconomic status (SES) predicts, based on food service types available, whether a population has access to healthy food. It is not known, however, if a relationship exists between SES and risk for foodborne illness (FBI) at the community level. Geographic information systems (GIS) give researchers the ability to pinpoint health indicators to specific geographic locations and detect resulting environmental gradients. It has been used extensively to characterize the food environment, with respect to access to healthy foods. This research investigated the utility of GIS in determining whether community SES and/or demographics relate to access to safe food, as measured by food service critical health code violations (CHV) as a proxy for risk for FBI. Health inspection records documenting CHV for 10,859 food service facilities collected between 2005 and 2008 in Philadelphia, PA, were accessed. Using an overlay analysis through GIS, CHV were plotted over census tracts of the corresponding area. Census tracts (n = 368) were categorized into quintiles, based on poverty level. Overall, food service facilities in higher poverty areas had a greater number of facilities (with at least one CHV) and had more frequent inspections than facilities in lower poverty areas. The facilities in lower poverty areas, however, had a higher average number of CHV per inspection. Analysis of CHV rates in census tracts with high concentrations of minority populations found Hispanic facilities had more CHV than other demographics, and Hispanic and African American facilities had fewer days between inspections. This research demonstrates the potential for utilization of GIS mapping for tracking risks for FBI. Conversely, it sheds light on the subjective nature of health inspections, and indicates that underlying factors might be affecting inspection frequency and identification of CHV, such that CHV might not be a true proxy for risk for FBI.

Geographic information systems (GIS) and libraries: concepts, services and resources

2014 ◽  
Vol 31 (8) ◽  
pp. 8-11 ◽  
Author(s):  
Rory Elliott
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Staff Development ◽  
Information Needs ◽  
Geographic Information ◽  
Geospatial Technologies ◽  
Content Type ◽  
Core Concepts ◽  
Library Staff ◽  
Gis Software

Purpose – This paper aims to provide an introduction to core geographic information systems (GIS) concepts, prominent GIS software, the role of libraries in providing GIS services and support and resources for professional library staff to increase GIS knowledge and skills to fulfill the mission of serving the information needs of library patrons. Design/methodology/approach – This paper provides an overview of GISs core concepts and terminologies, Library GIS services and resources for library staff development. Findings – As GISs are being used by researchers in an ever-growing number of disciplines, librarians must increase their proficiency with geospatial technologies. Originality/value – While GISs have been used by certain researcher populations for some time, the increased use of such geospatial technologies creates a need for librarians who possess the skills and knowledge to assist patrons with their GIS needs. This paper introduces professional library staff to important GIS concepts, potential GIS services and resources to increase library staff’s competence with GISs.

scholarly journals From Paper Map to Geospatial Vector Layer

2018 ◽  
Vol 42 (3) ◽  
pp. 1-24 ◽  
Author(s):  
Peter Peller
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
Vector Data ◽  
Viable Option ◽  
Entire Process ◽  
Unique Data ◽  
Raster Maps ◽  
Gis Software

With paper map use in decline, one of the strategies that libraries and archives can adopt to make the information contained within them more accessible and usable is to extract features of interest from their scanned raster maps and convert those to geospatial vector data. This process adds valuable unique data to library geospatial collections and enables those previously map-bound features to be used separately in geographic information systems (GIS) software for custom mapping and analysis. Advances in partially automating most of the process have made this a much more viable option for libraries and archives. Although there is no one-size-fits-all automated solution for all maps and map features, this paper provides a complete description of the entire process incorporating examples of the various techniques and software used in selected studies that would be applicable in the library and archive environment.

DATABASE MODELLING IN CARTOGRAPHY FOR THE “ATLAS OF ELECTION”

2012 ◽  
Vol 38 (1) ◽  
pp. 20-26 ◽  
Author(s):  
Zdena Dobesova
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Database Design ◽  
Geographic Information ◽  
Database Model ◽  
Database Structure ◽  
Graphic Editor ◽  
Model Database ◽  
Gis Software ◽  
Base Data

Today maps are prepared in Geographic Information Systems (GIS software) and based on data stored in a database. In the stage of the conceptual database design, the graphic editor of a database model is recommended. The structure of data is often under the influence of the cartographic requests. For example, new data may be added only for visualization purposes. All database structures for a base data and a cartographical data can be defined in a conceptual database model before creation of a physical database model. Database modelling is demonstrated in ArcGIS Diagrammer software in this article. Design of a cartographic database model for the book “Atlas of Election to the Olomouc Region Council” is used as an example. Moreover, steps of a model creation, detail structure and relationships in the model are also mentioned. The cartographical database model of the “Atlas of Election” illustrates cartographical influence to the database structure.

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