BibTex RIS Kaynak Göster

Modelling ecological data using classification and regression tree technique (CART)

Yıl 2012, Cilt: 13 Sayı: 1, 1 - 4, 06.04.2012

Öz

Nonparametric methods have been increasingly used in order to model the distribution of target species in the forest ecosystems by means of environmental factors in recent years. One of the nonparametric methods is classification and regression tree tecnique (CART). By using CART, both categorical and continuous dependent variables can be modeled. That is why CART is a suitable tecnique for the distribution, productivity and diversity models of animal and plant species. This review was written to give information about CART.

Kaynakça

  • Aertsen, W., Kint, V., Orshoven, J., Özkan, K., Muys, B., 2010. Comparison and ranking of different modelling techniques for prediction of site index in Mediterranean mountain forests, Ecological modelling 221, 1119-1130.
  • Breiman, L., Friedman, J.H., Olshen, R., Stone, A.C.G., 1984. Classification and regression trees. Wadsworth International Group, Belmont, California, USA.
  • Chu, C.M, Tsai, B.W., Chang, K.T., 2009. Integrating decision tree and spatial cluster analysis for landslide susceptibility zonation. World Academy of Science, Engineering and Technology 59:470-483.
  • De’ath, G., Fabricius K.E., 2000. Classification and regression trees: A powerful yet simple technique for ecological data analysis. Ecology, 81(11): 3178-3192 .
  • Liu, C., Berry, P.M., Dawson, T.P., Pearson, R.G., 2005. Selecting thresholds of occurance in the prediction of species distribution, Ecography 28, 385-393.
  • Manel, S., Williams, H.C., Ormerod, S.J., 2001. Evaluating presence-absence models in ecology: the need to account for prevalence, Journal of Applied Ecology, 38, 921-931.
  • Mckenney, D.W., Pedlar, J.H., 2003. Spatial models of site index based on climate and soil properties for two boreal tree species in Ontario, Canada. Forest Ecology and Management, 175:497- 507.
  • Moisen, G.G., 2008. Classification and Regression Tree. In: Jorgensen SE (ed) In Encyclopedia of Ecology, pp.582-588.
  • Navarrate E., Espinosa M., 2011. Using the non-parametric classifies CART to model wood density. Journal of Data Science 9:261-270.
  • Özkan, K., 2010. Orman ekosistem çeşitliliği haritalama çalışmaları için ekolojik alan çeşitliliğinin belirlenmesi üzerine bir öneri. SDÜ Orman Fakültesi Dergisi 2:136-148
  • Özkan, K., Mert, A., 2010. Isparta Yukarı Gökdere Yöresinde Kasnak Meşesinin Senaryolarına göre 2050 ve 2080 yıllarında muhtemel potansiyel yayılış alanlarının coğrafi modellemesi, Çölleşme ile Mücadele Sempozyumu 17-18 Haziran, 2010, Anitta Otel, Çorum.

Sınıflandırma ve regresyon ağacı tekniği (SRAT) ile ekolojik verinin modellenmesi

Yıl 2012, Cilt: 13 Sayı: 1, 1 - 4, 06.04.2012

Öz

Orman ekosistemlerinde hedef türlerin yetişme ortamı özelliklerine göre modellenmesi ile ilgili parametrik olmayan yöntemlerin kullanımı gün geçtikçe artmaktadır. Parametrik olmayan yöntemlerden biride sınıflandırma ve regresyon ağacı tekniğidir (SRAT). Bu yöntem kullanılarak hem kategorik (sınıflandırma ağacı) hem de sürekli (regresyon ağacı) bağımlı değişkenler modellenebilmektedir. Bundan dolayı SRAT hayvan ve bitki türlerinin dağılım modellemeleri için ideal bir yöntemdir. Bu derlemede SRAT hakkında bilgi vermek amaçlanmıştır.

Kaynakça

  • Aertsen, W., Kint, V., Orshoven, J., Özkan, K., Muys, B., 2010. Comparison and ranking of different modelling techniques for prediction of site index in Mediterranean mountain forests, Ecological modelling 221, 1119-1130.
  • Breiman, L., Friedman, J.H., Olshen, R., Stone, A.C.G., 1984. Classification and regression trees. Wadsworth International Group, Belmont, California, USA.
  • Chu, C.M, Tsai, B.W., Chang, K.T., 2009. Integrating decision tree and spatial cluster analysis for landslide susceptibility zonation. World Academy of Science, Engineering and Technology 59:470-483.
  • De’ath, G., Fabricius K.E., 2000. Classification and regression trees: A powerful yet simple technique for ecological data analysis. Ecology, 81(11): 3178-3192 .
  • Liu, C., Berry, P.M., Dawson, T.P., Pearson, R.G., 2005. Selecting thresholds of occurance in the prediction of species distribution, Ecography 28, 385-393.
  • Manel, S., Williams, H.C., Ormerod, S.J., 2001. Evaluating presence-absence models in ecology: the need to account for prevalence, Journal of Applied Ecology, 38, 921-931.
  • Mckenney, D.W., Pedlar, J.H., 2003. Spatial models of site index based on climate and soil properties for two boreal tree species in Ontario, Canada. Forest Ecology and Management, 175:497- 507.
  • Moisen, G.G., 2008. Classification and Regression Tree. In: Jorgensen SE (ed) In Encyclopedia of Ecology, pp.582-588.
  • Navarrate E., Espinosa M., 2011. Using the non-parametric classifies CART to model wood density. Journal of Data Science 9:261-270.
  • Özkan, K., 2010. Orman ekosistem çeşitliliği haritalama çalışmaları için ekolojik alan çeşitliliğinin belirlenmesi üzerine bir öneri. SDÜ Orman Fakültesi Dergisi 2:136-148
  • Özkan, K., Mert, A., 2010. Isparta Yukarı Gökdere Yöresinde Kasnak Meşesinin Senaryolarına göre 2050 ve 2080 yıllarında muhtemel potansiyel yayılış alanlarının coğrafi modellemesi, Çölleşme ile Mücadele Sempozyumu 17-18 Haziran, 2010, Anitta Otel, Çorum.
Toplam 11 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Orijinal Araştırma Makalesi
Yazarlar

Kürşad Özkan

Yayımlanma Tarihi 6 Nisan 2012
Yayımlandığı Sayı Yıl 2012 Cilt: 13 Sayı: 1

Kaynak Göster

APA Özkan, K. (2012). Modelling ecological data using classification and regression tree technique (CART). Turkish Journal of Forestry, 13(1), 1-4. https://doi.org/10.18182/tjf.94244
AMA Özkan K. Modelling ecological data using classification and regression tree technique (CART). Turkish Journal of Forestry. Nisan 2012;13(1):1-4. doi:10.18182/tjf.94244
Chicago Özkan, Kürşad. “Modelling Ecological Data Using Classification and Regression Tree Technique (CART)”. Turkish Journal of Forestry 13, sy. 1 (Nisan 2012): 1-4. https://doi.org/10.18182/tjf.94244.
EndNote Özkan K (01 Nisan 2012) Modelling ecological data using classification and regression tree technique (CART). Turkish Journal of Forestry 13 1 1–4.
IEEE K. Özkan, “Modelling ecological data using classification and regression tree technique (CART)”, Turkish Journal of Forestry, c. 13, sy. 1, ss. 1–4, 2012, doi: 10.18182/tjf.94244.
ISNAD Özkan, Kürşad. “Modelling Ecological Data Using Classification and Regression Tree Technique (CART)”. Turkish Journal of Forestry 13/1 (Nisan 2012), 1-4. https://doi.org/10.18182/tjf.94244.
JAMA Özkan K. Modelling ecological data using classification and regression tree technique (CART). Turkish Journal of Forestry. 2012;13:1–4.
MLA Özkan, Kürşad. “Modelling Ecological Data Using Classification and Regression Tree Technique (CART)”. Turkish Journal of Forestry, c. 13, sy. 1, 2012, ss. 1-4, doi:10.18182/tjf.94244.
Vancouver Özkan K. Modelling ecological data using classification and regression tree technique (CART). Turkish Journal of Forestry. 2012;13(1):1-4.