Determining an optimum inventory route for an areal object: the case of forest inventory in Finland

In recent decades, routing based on Geographic Information Systems (GIS) has become a major branch of technology, which has been used especially in applications related to transport and logistics. However, in terms of the development of methods, routing in a cross-country environment is more difficu...

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Main Authors: Henna Etula, Harri Antikainen
Format: Article
Language:English
Published: Geographical Society of Finland 2014-03-01
Series:Fennia: International Journal of Geography
Online Access:http://ojs.tsv.fi/index.php/fennia/article/view/8210/10537
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spelling doaj-79e559e94ea64ebda92613c72474410c2020-11-25T01:08:29ZengGeographical Society of FinlandFennia: International Journal of Geography1798-56172014-03-011921233510.11143/8210Determining an optimum inventory route for an areal object: the case of forest inventory in FinlandHenna EtulaHarri AntikainenIn recent decades, routing based on Geographic Information Systems (GIS) has become a major branch of technology, which has been used especially in applications related to transport and logistics. However, in terms of the development of methods, routing in a cross-country environment is more difficult, and hence research into it has been relatively scarce. This is particularly true in the context of complex routing problems involving visits to several locations. A typical example of a problem of this kind is field inventory, which is a data collection procedure used in many application areas, particularly those related to environmental research and the management of natural resources. This study presents a problem in which an efficient inventory route is determined for an areal object, such that the area visible from the route meets a prescribed threshold, while maintaining the shortest possible route. Although this problem, referred to here as the Areal Inventory Problem (AIP), is closely related to a multitude of routing and location allocation methods known in the context of GIS, none of them is very well-suited for solving the AIP. This study describes a general solution procedure for the AIP, and introduces an implementation of a heuristic algorithm that can be used to solve a real-world AIP within a reasonable time frame. The proposed approach is demonstrated with actual data related to field inventory practices carried out by the Finnish Forest Centre.http://ojs.tsv.fi/index.php/fennia/article/view/8210/10537
collection DOAJ
language English
format Article
sources DOAJ
author Henna Etula
Harri Antikainen
spellingShingle Henna Etula
Harri Antikainen
Determining an optimum inventory route for an areal object: the case of forest inventory in Finland
Fennia: International Journal of Geography
author_facet Henna Etula
Harri Antikainen
author_sort Henna Etula
title Determining an optimum inventory route for an areal object: the case of forest inventory in Finland
title_short Determining an optimum inventory route for an areal object: the case of forest inventory in Finland
title_full Determining an optimum inventory route for an areal object: the case of forest inventory in Finland
title_fullStr Determining an optimum inventory route for an areal object: the case of forest inventory in Finland
title_full_unstemmed Determining an optimum inventory route for an areal object: the case of forest inventory in Finland
title_sort determining an optimum inventory route for an areal object: the case of forest inventory in finland
publisher Geographical Society of Finland
series Fennia: International Journal of Geography
issn 1798-5617
publishDate 2014-03-01
description In recent decades, routing based on Geographic Information Systems (GIS) has become a major branch of technology, which has been used especially in applications related to transport and logistics. However, in terms of the development of methods, routing in a cross-country environment is more difficult, and hence research into it has been relatively scarce. This is particularly true in the context of complex routing problems involving visits to several locations. A typical example of a problem of this kind is field inventory, which is a data collection procedure used in many application areas, particularly those related to environmental research and the management of natural resources. This study presents a problem in which an efficient inventory route is determined for an areal object, such that the area visible from the route meets a prescribed threshold, while maintaining the shortest possible route. Although this problem, referred to here as the Areal Inventory Problem (AIP), is closely related to a multitude of routing and location allocation methods known in the context of GIS, none of them is very well-suited for solving the AIP. This study describes a general solution procedure for the AIP, and introduces an implementation of a heuristic algorithm that can be used to solve a real-world AIP within a reasonable time frame. The proposed approach is demonstrated with actual data related to field inventory practices carried out by the Finnish Forest Centre.
url http://ojs.tsv.fi/index.php/fennia/article/view/8210/10537
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