SPATIAL COMPLEXITY OF TRANSPORT INFRASTRUCTURE IN THE CZECH REPUBLIC

Y. H. Chou. Exploring Spatial Analysis in GIS. Oxford Press, 1996

D. Eppstein, M. T. Goodrich, L. Trott: Going off-road: transversal complexity in road networks. Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Pages 23-32, ACM New York, NY, USA ©2009

Sang-Hoon Kim. Fractal Structure of Streets in Seoul. Journal of the Korean Physical Society, Vol. 45, No. 4, October 2004, pp. 845-847

Falconer, K., Fractal geometry: mathematical foundations and applications. John Wiley & Sons, (2013).

Feder, J., Fractals, Plenum Press, New York (1988).

Vicsek, T. Fractal Growth Phenomena, World Scientific, Singapore (1988).

Smith Jr, T. G., Lange, G. D., and Marks W. B. Fractal methods and results in cellular morphologydimensions, lacunarity and multifractals, Journal of neuroscience methods 69(2) (1996), 123{136.

Mandelbrot, B.B., Fractals lacunarity, and how it can be tuned and measured In T.F. Nonnenmacher, G.A. Losa and E.R. Weibel (Eds.), Fractals in Biology and Medicine, Birkhauser Verlag, Boston, (1994), 21-28.

Allain, C. and Cloitre M., Characterizing the lacunarity of random and deterministic fractal sets, Physics Review, A, 44 (1991), 3552-3558.

Plotnick, R.E., Gardner, R.H. and ONeill, R.V., Lacunarity indices as measures of landscape texture, Landscape Ecology, 8, (1993), 201-211. 14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing

Myint, S.W., Fractal Approaches in texture analysis and classi_cation of remotely sensed data: Comparisons with spatial autocorrelation techniques and simple descriptive statistics, International Journal of Remote Sensing, 24(9) (2003), 1925-1947.

Myint, S. W., and Lam, N., Examining lacunarity approaches in comparison with fractal and spatial autocorrelation techniques for urban mapping. Photogrammetric engineering and remote sensing, 71(8) (2005).

. Tucek, P., Janoska, Z.: Fractal Dimensions as a Descriptor of Urban Growth Dynamics, Neural Network World, 23 (2), pp 93-102, 2013

. Tucek, P., Paszto, V., Vozenilek, V.: Regular Use of Entropy for Studying Dissimilar Geographical Phenomena, Geografie, 114 (2), pp. 117-129, 2009

. Brychtova, A., Popelka, S., Vozenilek, V.: The Analysis o f Eye Movement a s a Tool for Evaluation of Maps and Graphical Outputs from GIS, Proceedings o f the 19th International Conference on Geography and Geoinformatics: Challenge for Practise and Education, pp. 154-162, 2012.

Y. H. Chou. Exploring Spatial Analysis in GIS. Oxford Press, 1996

D. Eppstein, M. T. Goodrich, L. Trott: Going off-road: transversal complexity in road networks. Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Pages 23-32, ACM New York, NY, USA ©2009

Sang-Hoon Kim. Fractal Structure of Streets in Seoul. Journal of the Korean Physical Society, Vol. 45, No. 4, October 2004, pp. 845-847

Falconer, K., Fractal geometry: mathematical foundations and applications. John Wiley & Sons, (2013).

Feder, J., Fractals, Plenum Press, New York (1988).

Vicsek, T. Fractal Growth Phenomena, World Scientific, Singapore (1988).

Smith Jr, T. G., Lange, G. D., and Marks W. B. Fractal methods and results in cellular morphologydimensions, lacunarity and multifractals, Journal of neuroscience methods 69(2) (1996), 123{136.

Mandelbrot, B.B., Fractals lacunarity, and how it can be tuned and measured In T.F. Nonnenmacher, G.A. Losa and E.R. Weibel (Eds.), Fractals in Biology and Medicine, Birkhauser Verlag, Boston, (1994), 21-28.

Allain, C. and Cloitre M., Characterizing the lacunarity of random and deterministic fractal sets, Physics Review, A, 44 (1991), 3552-3558.

Plotnick, R.E., Gardner, R.H. and ONeill, R.V., Lacunarity indices as measures of landscape texture, Landscape Ecology, 8, (1993), 201-211. 14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing

Myint, S.W., Fractal Approaches in texture analysis and classi_cation of remotely sensed data: Comparisons with spatial autocorrelation techniques and simple descriptive statistics, International Journal of Remote Sensing, 24(9) (2003), 1925-1947.

Myint, S. W., and Lam, N., Examining lacunarity approaches in comparison with fractal and spatial autocorrelation techniques for urban mapping. Photogrammetric engineering and remote sensing, 71(8) (2005).

. Tucek, P., Janoska, Z.: Fractal Dimensions as a Descriptor of Urban Growth Dynamics, Neural Network World, 23 (2), pp 93-102, 2013

. Tucek, P., Paszto, V., Vozenilek, V.: Regular Use of Entropy for Studying Dissimilar Geographical Phenomena, Geografie, 114 (2), pp. 117-129, 2009

. Brychtova, A., Popelka, S., Vozenilek, V.: The Analysis o f Eye Movement a s a Tool for Evaluation of Maps and Graphical Outputs from GIS, Proceedings o f the 19th International Conference on Geography and Geoinformatics: Challenge for Practise and Education, pp. 154-162, 2012.