scholarly journals An Approach to Assess the Effect of Currentness of Spatial Data on Routing Quality

2021 ◽  
Vol 2 ◽  
pp. 1-12
Author(s):  
Martin Schmidl ◽  
Gerhard Navratil ◽  
Ioannis Giannopoulos

Abstract. During spatial decision making, the quality of the utilized data is of high importance. During navigation these decisions are crucial for being routed to the desired destination (usually going by the shortest or fastest route). Road networks, the main data source for routing, are prone to changes which can have a big impact on the computed route and therefore on travel time. For instance, routes computed using an outdated street network can result in longer travel times, in longer distance, as well in cases where the desired destination might not be anymore reachable via the computed route. Data from OpenStreetMap with different timestamps allows us to download road network snapshots from different years, i.e., from 2014 to 2020. On each of those datasets the fastest route between 500 randomly chosen point pairs in Vienna, Austria, was computed. These routes were also reconstructed on the most recent dataset for evaluation reasons. The resulting travel times, travel length as well as feasibility of the route were compared with the most recent dataset. The results provide a first assessment of temporal quality based on the currentness of a dataset.

Author(s):  
Komang Budiarta ◽  
Putu Agung Ananta Wijaya ◽  
Cokorde Gede Indra Partha

College accreditation by BAN-PT is one of the parameters in determining the quality of universities in Indonesia. As consideration to achieve the standard from BAN-PT, so they have an evaluation process itself in study program or college to be meet the standard universities when set by the BAN-PT. In carrying out the process of self evaluation, required data source that is used as the basis in assessing on a criteria. In most of the study program, all data spread on the system information and physical document that different, that is require more time and effort to integrate up to interpret. Data warehouse fight important in collecting data that spread and become an information. The process data warehouse with ETL used to integrate, extract, clean, transforming and reload into the data warehouse. With the existence of the data warehouse on Academic STIMIK STIKOM Bali can make it easier for executives to get the information to support the standard accreditation standart three and can be used as a reference in decision making.


Author(s):  
Iftikhar U. Sikder ◽  
Aryya Gangopadhyay

This chapter introduces the research issues on spatial decision-making in the context of distributed geo-spatial data warehouse. Spatial decision-making in a distributed environment involves access to data and models from heterogeneous sources and composing disparate services into a meaningful integration. The chapter reviews system integration and interoperability issues of spatial data and models in a distributed computing environment. We present a prototype system to illustrate the collaborative access to data and as a model for supporting spatial decision-making.


2018 ◽  
Vol 162 ◽  
pp. 03018 ◽  
Author(s):  
Amjed Al-Hameedawi ◽  
Mohammed Salih ◽  
Haidar Mohammed ◽  
Maher Hassan

This paper mainly aims at analysing and selecting the best railway route within the Karbala City. The significance of having suitable locations for railway route is recognized as a crucial element in the pursuit to improve the quality of public transport in general. This paper uses technique based on bridging the gap between all the criteria to determine suitable location for the railway. It was also intended to organize non-spatial data for describing the process. The site selection of railway is the process of finding locations that meet the desired conditions set by the selection criteria. For this issue a professional know-how to deal with data depending on multi criteria is necessary to achieve of the task of decision making. Due to the tangle of the issue, a special effort must be done, to have a good usefulness of site selection. The results of spatial model in this paper shows the best railway track is (Karbala-ALhindya).


Criminology ◽  
2017 ◽  
Vol 55 (2) ◽  
pp. 344-376 ◽  
Author(s):  
MICHAEL J. FRITH ◽  
SHANE D. JOHNSON ◽  
HANNAH M. FRY

2000 ◽  
Vol 2 (3) ◽  
pp. 197-206 ◽  
Author(s):  
Piotr Jankowski

This paper presents the results of an experimental study about the use of collaborative spatial decision support tools to aid environmental restoration management and decision making. Similar, but non-geographic tools were developed and successfully applied in the 1990s for the computerised support of group decision making aimed at solving business problems. Yet, there are significant differences between business applications and spatial applications including environmental management. These differences motivated the study of habitat restoration reported in this paper. The results demonstrate that maps—the most common representation structures of spatial data in geographic information systems—play only a limited support role. Development of new ways to visualise spatial information and novel integrations of maps with analytical tools including multiple criteria decision models may help develop more effective collaborative spatial decision support systems.


2021 ◽  
Author(s):  
Claus Rinner

This paper proposes to use principles of geographic visualization in conjunction with multi‐criteria evaluation methods to support expert‐level spatial decision‐making. Interactive maps can be combined with analytical tools to explore various settings of multi‐criteria evaluation parameters that define different decision‐making strategies. In a case study, the analytic hierarchy process (AHP) is used to calculate composite measures of urban quality of life (QoL) for neighbourhoods in Toronto. The AHP allows for an interactive exploration of decision‐making strategies, while offering a view on spatial patterns in the evaluation results. In particular, an interactive blending between a classical and a contemporary QoL model is supported. This feature is used in a pilot study to assess the usefulness of geographic visualization in urban QoL evaluation. Three user interviews provide positive feedback on the utility and usability of the tool that was operated by the investigator.


2021 ◽  
Author(s):  
Claus Rinner

This paper proposes to use principles of geographic visualization in conjunction with multi‐criteria evaluation methods to support expert‐level spatial decision‐making. Interactive maps can be combined with analytical tools to explore various settings of multi‐criteria evaluation parameters that define different decision‐making strategies. In a case study, the analytic hierarchy process (AHP) is used to calculate composite measures of urban quality of life (QoL) for neighbourhoods in Toronto. The AHP allows for an interactive exploration of decision‐making strategies, while offering a view on spatial patterns in the evaluation results. In particular, an interactive blending between a classical and a contemporary QoL model is supported. This feature is used in a pilot study to assess the usefulness of geographic visualization in urban QoL evaluation. Three user interviews provide positive feedback on the utility and usability of the tool that was operated by the investigator.


1995 ◽  
Vol 11 (2) ◽  
pp. 133-137 ◽  
Author(s):  
Juan Fernández ◽  
Miguel A. Mateo ◽  
José Muñiz

The conditions are investigated in which Spanish university teachers carry out their teaching and research functions. 655 teachers from the University of Oviedo took part in this study by completing the Academic Setting Evaluation Questionnaire (ASEQ). Of the three dimensions assessed in the ASEQ, Satisfaction received the lowest ratings, Social Climate was rated higher, and Relations with students was rated the highest. These results are similar to those found in two studies carried out in the academic years 1986/87 and 1989/90. Their relevance for higher education is twofold because these data can be used as a complement of those obtained by means of students' opinions, and the crossing of both types of data can facilitate decision making in order to improve the quality of the work (teaching and research) of the university institutions.


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