Gravhögarna på Långön : ett metodtest av statistisk prediktionsmodellering i Norrlands inland
In an attempt to improve archaeological predictive modeling, two predictive models were developed through QGIS, Excel, GeoDa and R. These models were then tested with statistical quality tests. The first model was a linear regression model similar to that used by the default predictive models used i...
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Uppsala universitet, Arkeologi
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ftuppsalauniv:oai:DiVA.org:uu-414806 2023-05-15T17:44:44+02:00 Gravhögarna på Långön : ett metodtest av statistisk prediktionsmodellering i Norrlands inland The burial mounds of Långön : testing statistical predictive modeling in northern Sweden Granholm, Tim 2020 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414806 swe swe Uppsala universitet, Arkeologi http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414806 info:eu-repo/semantics/openAccess Prediktionsmodellering R Spatial Modellering Långön Archaeology Arkeologi Student thesis info:eu-repo/semantics/bachelorThesis text 2020 ftuppsalauniv 2023-02-23T21:52:44Z In an attempt to improve archaeological predictive modeling, two predictive models were developed through QGIS, Excel, GeoDa and R. These models were then tested with statistical quality tests. The first model was a linear regression model similar to that used by the default predictive models used in GIS software. The second model was a custom exponential model built through R. The two models were compared using MAE and the exponential model yielded slightly improved results. Various problems and opportunities regarding statistics in archaeological work were discovered, and discussed based on this papers findings.The concept of using the econometric methods of spatial predictive modeling was explored and discussed, although deemed unfit for this paper. Although the spatial model was never developed, it was deemed innessecary considering the success of the other models, in particular the exponential model. A few areas could with relative statistical significance be pointed out as likely former settlements, in particular an area to the immidiate west of Långön. The high probability area contains a smaller area previously reported by a civilian to contain rock fragments. Although that report is uncertain, in combination with the model results it is deemed the most promising area discovered during this project. Bachelor Thesis Northern Sweden Uppsala University: Publications (DiVA) Långön ENVELOPE(22.583,22.583,65.525,65.525) |
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Open Polar |
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Uppsala University: Publications (DiVA) |
op_collection_id |
ftuppsalauniv |
language |
Swedish |
topic |
Prediktionsmodellering R Spatial Modellering Långön Archaeology Arkeologi |
spellingShingle |
Prediktionsmodellering R Spatial Modellering Långön Archaeology Arkeologi Granholm, Tim Gravhögarna på Långön : ett metodtest av statistisk prediktionsmodellering i Norrlands inland |
topic_facet |
Prediktionsmodellering R Spatial Modellering Långön Archaeology Arkeologi |
description |
In an attempt to improve archaeological predictive modeling, two predictive models were developed through QGIS, Excel, GeoDa and R. These models were then tested with statistical quality tests. The first model was a linear regression model similar to that used by the default predictive models used in GIS software. The second model was a custom exponential model built through R. The two models were compared using MAE and the exponential model yielded slightly improved results. Various problems and opportunities regarding statistics in archaeological work were discovered, and discussed based on this papers findings.The concept of using the econometric methods of spatial predictive modeling was explored and discussed, although deemed unfit for this paper. Although the spatial model was never developed, it was deemed innessecary considering the success of the other models, in particular the exponential model. A few areas could with relative statistical significance be pointed out as likely former settlements, in particular an area to the immidiate west of Långön. The high probability area contains a smaller area previously reported by a civilian to contain rock fragments. Although that report is uncertain, in combination with the model results it is deemed the most promising area discovered during this project. |
format |
Bachelor Thesis |
author |
Granholm, Tim |
author_facet |
Granholm, Tim |
author_sort |
Granholm, Tim |
title |
Gravhögarna på Långön : ett metodtest av statistisk prediktionsmodellering i Norrlands inland |
title_short |
Gravhögarna på Långön : ett metodtest av statistisk prediktionsmodellering i Norrlands inland |
title_full |
Gravhögarna på Långön : ett metodtest av statistisk prediktionsmodellering i Norrlands inland |
title_fullStr |
Gravhögarna på Långön : ett metodtest av statistisk prediktionsmodellering i Norrlands inland |
title_full_unstemmed |
Gravhögarna på Långön : ett metodtest av statistisk prediktionsmodellering i Norrlands inland |
title_sort |
gravhögarna på långön : ett metodtest av statistisk prediktionsmodellering i norrlands inland |
publisher |
Uppsala universitet, Arkeologi |
publishDate |
2020 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414806 |
long_lat |
ENVELOPE(22.583,22.583,65.525,65.525) |
geographic |
Långön |
geographic_facet |
Långön |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_relation |
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414806 |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1766147019411292160 |