INTEGRATION NEURAL NETWORKS AND GIS IN MODELING LANDSCAPE CHANGES

Atkinson, P., & Tatnall, A. Neural networks in remote sensing. International Journal of Remote Sensing, 18(4), pp. 699– 709, 1997.

Batty, M., & Longley P. A. Urban modelling in computer-graphic and geographic information system environments. Environment and Planning B, 19, pp. 663– 688, 1994.

Burchell, R. W. (1996). Economic and fiscal impacts of alternative land use patterns. In Batie S. (Ed.), The land use decision making process: its role in a sustainable future for Michigan. Michigan State University Extension, East Lansing, Michigan.

Costanza, R. Model goodness of fit: a multiple resolution procedure. Ecological Modelling, 47, pp. 199– 215, 1989.

Dale, V., O’Neill, R., Pedlowski, M., & Southworth, F. Causes and effects of land use change in Central Rondonia, Brazil. Photogrammetric Engineering and Remote Sensing, 59(6), pp. 97– 1005, 1993.

Drummond, S., Joshi, A., & Sudduth, K. Application of neural networks: precision farming. IEEE Transactions on Neural Networks, pp. 211– 215, 1998.

Easson, G. L. Integration of Artificial Neural Networks and Geographic Information Systems for Engineering Geological Mapping, Unpublished Doctoral Dissertation. University of Missouri-Rolla, 154 p, 1996.

Eastman, J. R. IDRISI Andes Guide to GIS and Image Processing. Worcester, Idrisi Production © Clark Labs, Clark University, 2006.

Haykin, S. Neural Networks, A Comprehensive Foundation. New York: Macmillan College Publishing Company, 696 p, 1994.

Hewitson, B. C. & Crane R. G. Looks and Uses. In Hewitson, B. C., Crane, R.G. (Eds.) Neural Nets: Applications in Geography. Boston, Kluwer Academic Publishers, pp. 1-9, 1994. 14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing

Medley, K., Okey, B. W., Barrett, G. W., Lucas, M. F., & Renwick, W. H. Landscape change with agricultural intensification in a rural watershed, southwestern Ohio. USA Landscape Ecology, 10(3), 161–176, 1995.

Pechanec, V., Janíková, V., Brus, J., Kilianová, H. Typological data in the process of landscape potential identification with using GIS. Moravian geographical reports. Vol. 17 (4), Brno, Institute of Geonics ASCR, pp. 12-24, 2009.

Ritter, N., Logan, T., & Bryant, N. Integration of neural network technologies with geographic information systems. Proceedings of the GIS symposium: integrating technology and geoscience applications, Denver, Colorado. United States Geological Survey, Washington, DC, pp. 102– 103, 1988.

Skapura, D. M. Building neural networks. New York: ACM Press, 1996.

Steiner, F. R., & Osterman, D. A. Landscape planning: a working method applied to a case study of soil conservation. Landscape Ecology, 1(4), pp. 213–226., 1988.

Atkinson, P., & Tatnall, A. Neural networks in remote sensing. International Journal of Remote Sensing, 18(4), pp. 699– 709, 1997.

Batty, M., & Longley P. A. Urban modelling in computer-graphic and geographic information system environments. Environment and Planning B, 19, pp. 663– 688, 1994.

Burchell, R. W. (1996). Economic and fiscal impacts of alternative land use patterns. In Batie S. (Ed.), The land use decision making process: its role in a sustainable future for Michigan. Michigan State University Extension, East Lansing, Michigan.

Costanza, R. Model goodness of fit: a multiple resolution procedure. Ecological Modelling, 47, pp. 199– 215, 1989.

Dale, V., O’Neill, R., Pedlowski, M., & Southworth, F. Causes and effects of land use change in Central Rondonia, Brazil. Photogrammetric Engineering and Remote Sensing, 59(6), pp. 97– 1005, 1993.

Drummond, S., Joshi, A., & Sudduth, K. Application of neural networks: precision farming. IEEE Transactions on Neural Networks, pp. 211– 215, 1998.

Easson, G. L. Integration of Artificial Neural Networks and Geographic Information Systems for Engineering Geological Mapping, Unpublished Doctoral Dissertation. University of Missouri-Rolla, 154 p, 1996.

Eastman, J. R. IDRISI Andes Guide to GIS and Image Processing. Worcester, Idrisi Production © Clark Labs, Clark University, 2006.

Haykin, S. Neural Networks, A Comprehensive Foundation. New York: Macmillan College Publishing Company, 696 p, 1994.

Hewitson, B. C. & Crane R. G. Looks and Uses. In Hewitson, B. C., Crane, R.G. (Eds.) Neural Nets: Applications in Geography. Boston, Kluwer Academic Publishers, pp. 1-9, 1994. 14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing

Medley, K., Okey, B. W., Barrett, G. W., Lucas, M. F., & Renwick, W. H. Landscape change with agricultural intensification in a rural watershed, southwestern Ohio. USA Landscape Ecology, 10(3), 161–176, 1995.

Pechanec, V., Janíková, V., Brus, J., Kilianová, H. Typological data in the process of landscape potential identification with using GIS. Moravian geographical reports. Vol. 17 (4), Brno, Institute of Geonics ASCR, pp. 12-24, 2009.

Ritter, N., Logan, T., & Bryant, N. Integration of neural network technologies with geographic information systems. Proceedings of the GIS symposium: integrating technology and geoscience applications, Denver, Colorado. United States Geological Survey, Washington, DC, pp. 102– 103, 1988.

Skapura, D. M. Building neural networks. New York: ACM Press, 1996.

Steiner, F. R., & Osterman, D. A. Landscape planning: a working method applied to a case study of soil conservation. Landscape Ecology, 1(4), pp. 213–226., 1988.