Comparison of different interpolation techniques to map temperature in the southern region of Eritrea

Mussie G. Tewolde, Teshome A. Beza, Ana Cristina Costa, Marco Painho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Temperature and rainfall vary markedly throughout Eritrea, from hot desert in the east to a mild, subhumid climate in the highlands (Wolfe et al., 2008). Prediction and understanding of the spatial variation of climate data, particularly temperature, is important to many agricultural and economic sectors for planning and management activities (Moral, 2009). This is especially important in Eritrea where agriculture provides 12.4% of the gross domestic product, and 80% of the population are involved in farming and herding (Wolfe et al., 2008).
Several studies have demonstrated that various spatial interpolation techniques perform differently depending on the type of attribute, geometrical configuration of the samples, spatial resolution, world region, etc. (Martínez-Cob, 1996; Goovaerts, 2000; Haberlandt, 2007). Hence, selecting the best interpolation technique for each particular situation is a key factor. The major objective of this study is to assess the spatial variability of annual average temperature in the southern region of Eritrea by comparing different interpolation procedures. The temperature data were interpolated using a deterministic method (Inverse square distance) and three geostatistical methods (Ordinary, Universal and Simple kriging). The performance of the different techniques was compared
through error statistics computed using Jackknife cross-validation
Original languageEnglish
Title of host publicationGeospatial Thinking
Subtitle of host publicationProceedings of the 13th AGILE International Conference on Geographic Information Science
EditorsPainho M., Santos M. Y., Pundt H.
PublisherAssociation of Geographic Information Laboratories for Europe (AGILE)
Pages1-5
Number of pages5
ISBN (Print)978-989-20-1953-6
Publication statusPublished - 2010
Event13th AGILE International Conference on Geographic Information Science, AGILE 2010 - Guimaraes, Portugal
Duration: 10 May 201014 May 2010

Conference

Conference13th AGILE International Conference on Geographic Information Science, AGILE 2010
CountryPortugal
CityGuimaraes
Period10/05/1014/05/10

Fingerprint

interpolation
temperature
climate
kriging
Gross Domestic Product
spatial resolution
spatial variation
desert
agriculture
rainfall
comparison
prediction
method

Cite this

Tewolde, M. G., Beza, T. A., Costa, A. C., & Painho, M. (2010). Comparison of different interpolation techniques to map temperature in the southern region of Eritrea. In P. M., S. M. Y., & P. H. (Eds.), Geospatial Thinking: Proceedings of the 13th AGILE International Conference on Geographic Information Science (pp. 1-5). Association of Geographic Information Laboratories for Europe (AGILE).
Tewolde, Mussie G. ; Beza, Teshome A. ; Costa, Ana Cristina ; Painho, Marco. / Comparison of different interpolation techniques to map temperature in the southern region of Eritrea. Geospatial Thinking: Proceedings of the 13th AGILE International Conference on Geographic Information Science. editor / Painho M. ; Santos M. Y. ; Pundt H. Association of Geographic Information Laboratories for Europe (AGILE), 2010. pp. 1-5
@inproceedings{98ea146f840d4e2488a13806a46d0cf9,
title = "Comparison of different interpolation techniques to map temperature in the southern region of Eritrea",
abstract = "Temperature and rainfall vary markedly throughout Eritrea, from hot desert in the east to a mild, subhumid climate in the highlands (Wolfe et al., 2008). Prediction and understanding of the spatial variation of climate data, particularly temperature, is important to many agricultural and economic sectors for planning and management activities (Moral, 2009). This is especially important in Eritrea where agriculture provides 12.4{\%} of the gross domestic product, and 80{\%} of the population are involved in farming and herding (Wolfe et al., 2008).Several studies have demonstrated that various spatial interpolation techniques perform differently depending on the type of attribute, geometrical configuration of the samples, spatial resolution, world region, etc. (Mart{\'i}nez-Cob, 1996; Goovaerts, 2000; Haberlandt, 2007). Hence, selecting the best interpolation technique for each particular situation is a key factor. The major objective of this study is to assess the spatial variability of annual average temperature in the southern region of Eritrea by comparing different interpolation procedures. The temperature data were interpolated using a deterministic method (Inverse square distance) and three geostatistical methods (Ordinary, Universal and Simple kriging). The performance of the different techniques was comparedthrough error statistics computed using Jackknife cross-validation",
author = "Tewolde, {Mussie G.} and Beza, {Teshome A.} and Costa, {Ana Cristina} and Marco Painho",
note = "Tewolde, M. G., Beza, T. A., Costa, A. C., & Painho, M. (2010). Comparison of different interpolation techniques to map temperature in the southern region of Eritrea. In P. M., S. M. Y., & P. H. (Eds.), Geospatial Thinking: Proceedings of the 13th AGILE International Conference on Geographic Information Science (pp. 1-5). Association of Geographic Information Laboratories for Europe (AGILE). https://agile-online.org/conference_paper/cds/agile_2010/posterabstracts_pdf/84_doc.pdf",
year = "2010",
language = "English",
isbn = "978-989-20-1953-6",
pages = "1--5",
editor = "Painho M. and {M. Y.}, Santos and Pundt H.",
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Tewolde, MG, Beza, TA, Costa, AC & Painho, M 2010, Comparison of different interpolation techniques to map temperature in the southern region of Eritrea. in P M., S M. Y. & P H. (eds), Geospatial Thinking: Proceedings of the 13th AGILE International Conference on Geographic Information Science. Association of Geographic Information Laboratories for Europe (AGILE), pp. 1-5, 13th AGILE International Conference on Geographic Information Science, AGILE 2010, Guimaraes, Portugal, 10/05/10.

Comparison of different interpolation techniques to map temperature in the southern region of Eritrea. / Tewolde, Mussie G.; Beza, Teshome A. ; Costa, Ana Cristina; Painho, Marco.

Geospatial Thinking: Proceedings of the 13th AGILE International Conference on Geographic Information Science. ed. / Painho M.; Santos M. Y.; Pundt H. Association of Geographic Information Laboratories for Europe (AGILE), 2010. p. 1-5.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Tewolde, Mussie G.

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AU - Costa, Ana Cristina

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N1 - Tewolde, M. G., Beza, T. A., Costa, A. C., & Painho, M. (2010). Comparison of different interpolation techniques to map temperature in the southern region of Eritrea. In P. M., S. M. Y., & P. H. (Eds.), Geospatial Thinking: Proceedings of the 13th AGILE International Conference on Geographic Information Science (pp. 1-5). Association of Geographic Information Laboratories for Europe (AGILE). https://agile-online.org/conference_paper/cds/agile_2010/posterabstracts_pdf/84_doc.pdf

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N2 - Temperature and rainfall vary markedly throughout Eritrea, from hot desert in the east to a mild, subhumid climate in the highlands (Wolfe et al., 2008). Prediction and understanding of the spatial variation of climate data, particularly temperature, is important to many agricultural and economic sectors for planning and management activities (Moral, 2009). This is especially important in Eritrea where agriculture provides 12.4% of the gross domestic product, and 80% of the population are involved in farming and herding (Wolfe et al., 2008).Several studies have demonstrated that various spatial interpolation techniques perform differently depending on the type of attribute, geometrical configuration of the samples, spatial resolution, world region, etc. (Martínez-Cob, 1996; Goovaerts, 2000; Haberlandt, 2007). Hence, selecting the best interpolation technique for each particular situation is a key factor. The major objective of this study is to assess the spatial variability of annual average temperature in the southern region of Eritrea by comparing different interpolation procedures. The temperature data were interpolated using a deterministic method (Inverse square distance) and three geostatistical methods (Ordinary, Universal and Simple kriging). The performance of the different techniques was comparedthrough error statistics computed using Jackknife cross-validation

AB - Temperature and rainfall vary markedly throughout Eritrea, from hot desert in the east to a mild, subhumid climate in the highlands (Wolfe et al., 2008). Prediction and understanding of the spatial variation of climate data, particularly temperature, is important to many agricultural and economic sectors for planning and management activities (Moral, 2009). This is especially important in Eritrea where agriculture provides 12.4% of the gross domestic product, and 80% of the population are involved in farming and herding (Wolfe et al., 2008).Several studies have demonstrated that various spatial interpolation techniques perform differently depending on the type of attribute, geometrical configuration of the samples, spatial resolution, world region, etc. (Martínez-Cob, 1996; Goovaerts, 2000; Haberlandt, 2007). Hence, selecting the best interpolation technique for each particular situation is a key factor. The major objective of this study is to assess the spatial variability of annual average temperature in the southern region of Eritrea by comparing different interpolation procedures. The temperature data were interpolated using a deterministic method (Inverse square distance) and three geostatistical methods (Ordinary, Universal and Simple kriging). The performance of the different techniques was comparedthrough error statistics computed using Jackknife cross-validation

M3 - Conference contribution

SN - 978-989-20-1953-6

SP - 1

EP - 5

BT - Geospatial Thinking

A2 - M., Painho

A2 - M. Y., Santos

A2 - H., Pundt

PB - Association of Geographic Information Laboratories for Europe (AGILE)

ER -

Tewolde MG, Beza TA, Costa AC, Painho M. Comparison of different interpolation techniques to map temperature in the southern region of Eritrea. In M. P, M. Y. S, H. P, editors, Geospatial Thinking: Proceedings of the 13th AGILE International Conference on Geographic Information Science. Association of Geographic Information Laboratories for Europe (AGILE). 2010. p. 1-5