3D GAME TECHNOLOGY IN PROPERTY FORMATION

J. Paulsson, ”Reasons for introducing 3D property in a legal system-Illustrated by the Swedish case,” Land Use Policy, vol. 33, pp. 195--203, 2013.

J. Paasch et al., ”Integration of 3D Cadastre, 3D Property Formation and BIM in Sweden,” 3D cadastre workshop 2014, pp. 17--34, 2014.

A. Aien, ”3D Cadastral Data Modelling,” 2013. Thesis, Department of Infrastructure Engineering, School of Engineering, The University of Melbourne

A. Navarro et al., ”Open Source 3D Game Engines for Serious Games Modeling,” Modeling and Simulation in Engineering, pp. 143--158, 2012.

R. C. Mat et al., ”Using game engine for 3D terrain visualisation of GIS data: A review,” i IOP Conference Series: Earth and Environmental Science, 2014.

P. V. Arun, ”A comparative analysis of different DEM interpolation methods,” The Egyptian Journal of Remote Sensing and Space Science, vol. 16, pp. 133--139, 2013.

N. Yokoya et al., ”Fractal-based analysis and interpolation of 3D natural surface shapes and their application to terrain modeling,” Computer Vision, Graphics, and Image Processing, vol. 46, 1989.

A. Kobler et al., ”Repetitive interpolation: A robust algorithm for DTM generation from Aerial Laser Scanner Data in forested terrain,” Remote Sensing of Environment, vol. 108, nr 1, pp. 9--23, 2007.

N. Tate and F. Fisher, ”Causes and consequences of error in digital elevation models,” Progress in Physical Geography, vol. 30, nr 4, pp. 467--489, 2006.

P. J. J. Desmet, ”Effects of Interpolation Errors on the Analysis of DEMs,” Earth Surface Processes and Landforms, vol. 22, pp. 563--580, 1997.

M. Gallay et al., ”Using geographically weighted regression for analysing elevation error of detailed digital elevation models,” Accuracy 2010 Symposium, pp. 310--314, 2010.

A. Fotheringham et al., Geographically Weighted Regression: The Analysis of Spatially Varying Relationships, Wiley, 2002. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

J. Paulsson, ”Reasons for introducing 3D property in a legal system-Illustrated by the Swedish case,” Land Use Policy, vol. 33, pp. 195--203, 2013.

J. Paasch et al., ”Integration of 3D Cadastre, 3D Property Formation and BIM in Sweden,” 3D cadastre workshop 2014, pp. 17--34, 2014.

A. Aien, ”3D Cadastral Data Modelling,” 2013. Thesis, Department of Infrastructure Engineering, School of Engineering, The University of Melbourne

A. Navarro et al., ”Open Source 3D Game Engines for Serious Games Modeling,” Modeling and Simulation in Engineering, pp. 143--158, 2012.

R. C. Mat et al., ”Using game engine for 3D terrain visualisation of GIS data: A review,” i IOP Conference Series: Earth and Environmental Science, 2014.

P. V. Arun, ”A comparative analysis of different DEM interpolation methods,” The Egyptian Journal of Remote Sensing and Space Science, vol. 16, pp. 133--139, 2013.

N. Yokoya et al., ”Fractal-based analysis and interpolation of 3D natural surface shapes and their application to terrain modeling,” Computer Vision, Graphics, and Image Processing, vol. 46, 1989.

A. Kobler et al., ”Repetitive interpolation: A robust algorithm for DTM generation from Aerial Laser Scanner Data in forested terrain,” Remote Sensing of Environment, vol. 108, nr 1, pp. 9--23, 2007.

N. Tate and F. Fisher, ”Causes and consequences of error in digital elevation models,” Progress in Physical Geography, vol. 30, nr 4, pp. 467--489, 2006.

P. J. J. Desmet, ”Effects of Interpolation Errors on the Analysis of DEMs,” Earth Surface Processes and Landforms, vol. 22, pp. 563--580, 1997.

M. Gallay et al., ”Using geographically weighted regression for analysing elevation error of detailed digital elevation models,” Accuracy 2010 Symposium, pp. 310--314, 2010.

A. Fotheringham et al., Geographically Weighted Regression: The Analysis of Spatially Varying Relationships, Wiley, 2002. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org