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Year 2016, Volume: 2 Issue: 2, 86 - 89, 29.12.2016
https://doi.org/10.23884/mejs.2016.2.2.02

Abstract

References

  • [1] Makarkin, V.N., Archibald, S. B., and Oswald, J.D. 2003. New Early Eocene brown lacewings (Neuroptera: Hemerobiidae) from western North America. The Canadian Entomologist 135:637-653.
  • [2] Monserrat, V.J. & Marin, F. 1996. Plant substrate specificity of Iberian Hemerobiidae (Insecta: Neuroptera). Journal of Natural History 30: 775–787.
  • [3] Jepson, J.E. Penney, D., and D.I. Green A new species of brown lacewing (Neuroptera: Hemerobiidae) from Eocene Baltic amber., 2010, Zootaxa 2692:61-68.
  • [4] Rojo, S., Marín, F.; Marcos-Garcia, M. A. Presence of predatory lacewing (Neuroptera: Chrysopidae, Hemerobiidae) on Mediterranean crops. Acta Zoologica Cracoviensia, Kraków, v. 41, n. 2, p. 173-181, 1998.
  • [5] Hohenwarter, M., Hohenwarter., J., Kreis, Y., Lavicza Z.,Teaching and Learning Calculus with Free Dynamic Mathematics Software GeoGebra., TSG 16: Research and development in the teaching and learning of calculus ICME 11, Monterrey, Mexico 2008.
  • [6] Dikovic., L. Applications GeoGebra into Teaching Some Topics of Mathematics at the College Level., ComSIS Vol. 6, No. 2, December 2009.
  • [7] Baltacı, S., Yıldız, A., Matematik Öğretmen Adaylarının GeoGebra Yazılımı Yardımıyla Analitik Geometrideki Bir Konuyu Öğrenme Süreçleri., Ahi Evran Üniversitesi Kırşehir Eğitim Fakültesi Dergisi (KEFAD) Cilt 16, Sayı 3, Aralık 2015, Sayfa 295-312.

MULTIVARIATE CHARACTERISATION OF THE HABITATS OF BROWN LACEWING SPECIES BY USING GEO-GEBRA SOFTWARE (NEUROPTERA: HEMEROBIIDAE)

Year 2016, Volume: 2 Issue: 2, 86 - 89, 29.12.2016
https://doi.org/10.23884/mejs.2016.2.2.02

Abstract


This study shows an adequate strategy for the characterization of the habitat characterisation with mathematical program to obtain an analytical ecological data and approaching. In this study we carried out; Ellipse Conic through Five Points, Hyperbola, Parabola, Distance or Length, Slope, Angle with Given Size, Translate Object by Vector, Rotate Object around Point by Angle, Dilate Object from Point by Factor, Probability Calculator, Relation between Two Objects Tool in the brown lacewings. We elucidated the ecological behaviours of brown lacewings in an analytical plane by using Geo-Gebra.


References

  • [1] Makarkin, V.N., Archibald, S. B., and Oswald, J.D. 2003. New Early Eocene brown lacewings (Neuroptera: Hemerobiidae) from western North America. The Canadian Entomologist 135:637-653.
  • [2] Monserrat, V.J. & Marin, F. 1996. Plant substrate specificity of Iberian Hemerobiidae (Insecta: Neuroptera). Journal of Natural History 30: 775–787.
  • [3] Jepson, J.E. Penney, D., and D.I. Green A new species of brown lacewing (Neuroptera: Hemerobiidae) from Eocene Baltic amber., 2010, Zootaxa 2692:61-68.
  • [4] Rojo, S., Marín, F.; Marcos-Garcia, M. A. Presence of predatory lacewing (Neuroptera: Chrysopidae, Hemerobiidae) on Mediterranean crops. Acta Zoologica Cracoviensia, Kraków, v. 41, n. 2, p. 173-181, 1998.
  • [5] Hohenwarter, M., Hohenwarter., J., Kreis, Y., Lavicza Z.,Teaching and Learning Calculus with Free Dynamic Mathematics Software GeoGebra., TSG 16: Research and development in the teaching and learning of calculus ICME 11, Monterrey, Mexico 2008.
  • [6] Dikovic., L. Applications GeoGebra into Teaching Some Topics of Mathematics at the College Level., ComSIS Vol. 6, No. 2, December 2009.
  • [7] Baltacı, S., Yıldız, A., Matematik Öğretmen Adaylarının GeoGebra Yazılımı Yardımıyla Analitik Geometrideki Bir Konuyu Öğrenme Süreçleri., Ahi Evran Üniversitesi Kırşehir Eğitim Fakültesi Dergisi (KEFAD) Cilt 16, Sayı 3, Aralık 2015, Sayfa 295-312.
There are 7 citations in total.

Details

Journal Section Article
Authors

Hakan Bozdoğan

Publication Date December 29, 2016
Submission Date August 2, 2016
Published in Issue Year 2016 Volume: 2 Issue: 2

Cite

IEEE H. Bozdoğan, “MULTIVARIATE CHARACTERISATION OF THE HABITATS OF BROWN LACEWING SPECIES BY USING GEO-GEBRA SOFTWARE (NEUROPTERA: HEMEROBIIDAE)”, MEJS, vol. 2, no. 2, pp. 86–89, 2016, doi: 10.23884/mejs.2016.2.2.02.

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