| 1. |
- Khoshahval, Samira, et al.
(författare)
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A Personalized location-based and serendipity-oriented point of interest recommender assistant based on behavioral patterns
- 2018
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Ingår i: Geospatial Technologies for All : Selected Papers of the 21st AGILE Conference on Geographic Information Science - Selected Papers of the 21st AGILE Conference on Geographic Information Science. - Cham : Springer International Publishing. - 1863-2246 .- 1863-2351. - 9783319782089 - 9783319782072 ; part F3, s. 271-289
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Konferensbidrag (refereegranskat)abstract
- The technological evolutions have promoted mobile devices from rudimentary communication facilities to advanced personal assistants. According to the huge amount of accessible data, developing a time-saving and cost-effective method for location-based recommendations in mobile devices has been considered a challenging issue. This paper contributes a state-of-the-art solution for a personalized recommender assistant which suggests both accurate and unexpected point of interests (POIs) to users in each part of the day of the week based on their previously monitored, daily behavioral patterns. The presented approach consists of two steps of extracting the behavioral patterns from users’ trajectories and location-based recommendation based on the discovered patterns and user’s ratings. The behavioral pattern of the user includes their activity types in different parts of the day of the week, which is monitored via a combination of a stay point detection algorithm and an association rule mining (ARM) method. Having the behavioral patterns, the system exploits two recommendation procedures based on conventional collaborative filtering and K-furthest neighborhood model to recommend typical and serendipitous POIs to the users. The suggested POI list contains not only relevant and precise POIs but also unpredictable and surprising items to the users. To evaluate the system, the values of RMSE of each procedure were computed and compared. Conducted experiments proved the feasibility of the proposed solution.
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| 2. |
- Mansourian, Ali, et al.
(författare)
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Geospatial Technologies for All: Preface
- 2018
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Ingår i: Geospatial technologies for all : Selected Papers of the 21st AGILE Conference on Geographic Information Science - Selected Papers of the 21st AGILE Conference on Geographic Information Science. - Cham : Springer International Publishing. - 1863-2246 .- 1863-2351. - 9783319782072 - 9783319782089 ; part F3
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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| 3. |
- Pilesjö, Petter, et al.
(författare)
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Harmonizing GIS Education: South - North Perspectives : Lessons learnt from Mozambique, Rwanda, Sweden, and Uganda
- 2018
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Ingår i: Geospatial Technologies for All : short papers, posters and poster abstracts of the 21th AGILE Conference on Geographic Information Science. Lund University 12-15 June 2018, Lund, Sweden - short papers, posters and poster abstracts of the 21th AGILE Conference on Geographic Information Science. Lund University 12-15 June 2018, Lund, Sweden.
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Konferensbidrag (refereegranskat)abstract
- The aim of this paper is to critically examine, discuss, draw conclusions, and come up with ideas how to harmonize GIS education in order to realize the envisaged clientele benefits globally. The paper draws experiences and lessons learnt, with examples from ongoing joint GIS MSc programs/courses being implemented in Mozambique, Rwanda, and Uganda. All the five courses (3 in Uganda, 1 in Mozambique, and 1 in Rwanda) are currently financially supported by the Swedish International Development Cooperation Agency (Sida) capacity development and institutional development grants. The GIS programmes and course units in the southern institutions have a high demand from clients, especially at graduate level. However, their implementation and uptake is impeded by challenges like credit systems, pedagogic approach, field work, student interaction, and software, which are discussed. It is concluded that there is still a long way to go before harmonization, allowing GIS students to freely move between different countries during their education, is possible. Low/no cost exchange of teachers and “best practice” are identified as important initial steps to reach harmonization, focusing on younger teachers, as well as exchange of material and use of open source GIS software.
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| 4. |
- Lubida, Alex, et al.
(författare)
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Land-use planning for sustainable urban development in africa : A spatial and multi-objective optimization approach
- 2019
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Ingår i: Geodesy and Cartography. - : Vilnius Gediminas Technical University. - 2029-6991 .- 2029-7009. ; 45:1, s. 1-15
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Tidskriftsartikel (refereegranskat)abstract
- Land-use planning, which requires finding a balance among different conflicting social, economic and environment factors, is a complex task needed everywhere, including Africa. One example is the city of Zanzibar in Tanzania, which is under special consideration for land-use revision. From one side, the city has high potentials for tourist industry and at the other side there are major challenges with the city structure and poor accessibilities. In order to prepare a proper land-use plan for the city, a variety of influencing conflicting factors needs to be considered and satisfied. This can be regarded as a common problem in many African cities, which are under development. This paper aims to address the problem by proposing and demonstrating the use of Geographical Information System (GIS) and multi-objective optimization for land-use planning, in Zanzibar as a case study. The measures which have been taken by Zanzibar government to address the development challenges through the Zanzibar Strategy for Growth and Reduction of Poverty (ZSGRP) were identified by studying related documents and interviewing experts. Based on these, two objective functions were developed for land-use planning. Optimum base land-use plans were developed and mapped by optimizing the objective functions using the NSGA-II algorithm. The results show that the proposed approach and outputs can considerably facilitate land-use planning in Zanzibar. Similar approaches are highly recommended for other cities in Africa which are under development.
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| 5. |
- Niyomubyeyi, Olive, et al.
(författare)
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Evacuation planning optimization based on a multi-objective artificial bee colony algorithm
- 2019
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Ingår i: ISPRS International Journal of Geo-Information. - : MDPI AG. - 2220-9964. ; 8:3
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Tidskriftsartikel (refereegranskat)abstract
- Evacuation is an important activity for reducing the number of casualties and amount of damage in disaster management. Evacuation planning is tackled as a spatial optimization problem. The decision-making process for evacuation involves high uncertainty, conflicting objectives, and spatial constraints. This study presents a Multi-Objective Artificial Bee Colony (MOABC) algorithm, modified to provide a better solution to the evacuation problem. The new approach combines random swap and random insertion methods for neighborhood search, the two-point crossover operator, and the Pareto-based method. For evacuation planning, two objective functions were considered to minimize the total traveling distance from an affected area to shelters and to minimize the overload capacity of shelters. The developed model was tested on real data from the city of Kigali, Rwanda. From computational results, the proposed model obtained a minimum fitness value of 5.80 for capacity function and 8.72 × 10 8 for distance function, within 161 s of execution time. Additionally, in this research we compare the proposed algorithm with Non-Dominated Sorting Genetic Algorithm II and the existing Multi-Objective Artificial Bee Colony algorithm. The experimental results show that the proposed MOABC outperforms the current methods both in terms of computational time and better solutions with minimum fitness values. Therefore, developing MOABC is recommended for applications such as evacuation planning, where a fast-running and efficient model is needed.
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| 6. |
- Omidipoor, Morteza, et al.
(författare)
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Knowledge discoveryweb service for spatial data infrastructures
- 2021
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Ingår i: ISPRS International Journal of Geo-Information. - : MDPI AG. - 2220-9964. ; 10:1
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Tidskriftsartikel (refereegranskat)abstract
- The size, volume, variety, and velocity of geospatial data collected by geo-sensors, people, and organizations are increasing rapidly. Spatial Data Infrastructures (SDIs) are ongoing to facilitate the sharing of stored data in a distributed and homogeneous environment. Extracting high-level information and knowledge from such datasets to support decision making undoubtedly requires a relatively sophisticated methodology to achieve the desired results. A variety of spatial data mining techniques have been developed to extract knowledge from spatial data, which work well on centralized systems. However, applying them to distributed data in SDI to extract knowledge has remained a challenge. This paper proposes a creative solution, based on distributed computing and geospatial web service technologies for knowledge extraction in an SDI environment. The proposed approach is called Knowledge DiscoveryWeb Service (KDWS), which can be used as a layer on top of SDIs to provide spatial data users and decision makers with the possibility of extracting knowledge from massive heterogeneous spatial data in SDIs. By proposing and testing a system architecture for KDWS, this study contributes to perform spatial data mining techniques as a service-oriented framework on top of SDIs for knowledge discovery. We implemented and tested spatial clustering, classification, and association rule mining in an interoperable environment. In addition to interface implementation, a prototype web-based system was designed for extracting knowledge from real geodemographic data in the city of Tehran. The proposed solution allows a dynamic, easier, and much faster procedure to extract knowledge from spatial data.
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| 7. |
- Sekulic, Milan, et al.
(författare)
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Multi-criteria spatial-based modelling for optimal alignment of roadway by-passes in the Tlokweng planning area, Botswana
- 2022
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Ingår i: Journal of Spatial Science. - : Informa UK Limited. - 1449-8596 .- 1836-5655. ; 67:2, s. 237-254
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Tidskriftsartikel (refereegranskat)abstract
- In this study, Spatial Multi-Criteria Evaluation and the least cost path analysis were applied to find the optimal by-pass road alignment in the Tlokweng Planning Area in Botswana. One-At-a-Time sensitivity analysis and the statistical test for zero proportion were used to investigate the robustness of the entire model. Four alternative by-pass roads were produced stressing economic, environmental, and social suitability as well as trade-offs between the groups. The results showed that the social alternative performs best. Sensitivity analysis and statistical test for zero proportion revealed four criteria as sensitive.
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