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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Geographical Society of Finland
2014-03-01
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Series: | Fennia: International Journal of Geography |
Online Access: | http://ojs.tsv.fi/index.php/fennia/article/view/8210/10537 |
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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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AT hennaetula determininganoptimuminventoryrouteforanarealobjectthecaseofforestinventoryinfinland AT harriantikainen determininganoptimuminventoryrouteforanarealobjectthecaseofforestinventoryinfinland |
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