Scientific Cooperation between INPE and IFGI, University of Münster

CRAGLIA, M.; GOODCHILD, M.; ANNONI, A.; CAMARA, G.; GOULD, M.; KUHN, W.; MARK, D.; MASSER, I.; MAGUIRE, D.; LIANG, S.; PARSONS, E. Next-Generation Digital Earth: A position paper from the Vespucci Initiative for the Advancement of Geographic Information Science. International Journal of Spatial Data Infrastructures Research, v. 3, p. 146-167, 2008.

DAVIS, C.; FONSECA, F.; CAMARA, G. Beyond SDI: Integrating Science and Communities to Create Environmental Policies for the Sustainability of the Amazon. International Journal of Spatial Data Infrastructures Research, v. (under review), 2009.

FONSECA, F.; EGENHOFER, M.; AGOURIS, P.; CAMARA, G. Using Ontologies for Integrated Geographic Information Systems. Transactions in GIS, v. 6, n.3, p. 231-257, 2002.

AKYILDIZ, I.F., W. SU, Y. SANKARASUBRAMANIAM, E. CAYIRCI, “Wireless sensor networks: a survey”. Computer Networks, vol 38, pp. 393–422, 2002.

DUCKHAM, M., NITTEL, S. AND WORBOYS, M., 2005. “Monitoring Dynamic Spatial Fields Using Responsive Geosensor Networks”. In Shahabi, C. and Boucelma,O. (eds) ACM GIS 2005, ACM Press, pp. 51-60.

HART, J. K. AND MARTINEZ, K., 2006, Environmental Sensor Networks: A revolution in the earth system science? Earth-Science Reviews, vol. 78, pp. 177-191.

NAKAMURA, E.; LOUREIRO, A.; FRERY, A. Information fusion for wireless sensor networks: Methods, models, and classifications. ACM Computing Surveys, v. 39, n.3, 2007.

WORBOYS, M.F., DUCKHAM, M., 2006. “Monitoring qualitative spatiotemporal change for geosensor networks”. International Journal of Geographical Information Science, v20 n10, 1087-1108.

REIS, I.; CAMARA, G.; ASSUNÇÃO, R.; MONTEIRO, A. M. V. Suppressing temporal data in sensor networks using a scheme robust to aberrant readings. International Journal of Distributed Sensor Networks, v. (under review), 2009.

BOTTS, M.; PERCIVALL, G.; REED, C.; DAVIDSON, j. OGC® Sensor Web Enablement: Overview And High Level Architecture. White Paper, 2007.

GOODCHILD, M. Citizens as sensors: The world of volunteered geography Position Paper, 2007.

DEY, A. K.; ABOWD, G. D.; SALBER, D. A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Hum.-Comput. Interact. 16, 2 (Dec. 2001), 97-166. 2007.

SHETH, A.; HENSON, C. and SAHOO, S. "Semantic Sensor Web" IEEE Internet Computing, July/August 2008, p. 78-83.

GIBSON, C. C., E. OSTROM, et al. The concept of scale and the human dimensions of global change: a survey. Ecological Economics 32(2): 217-239, 2000.

CÂMARA, G.; AGUIAR, A. P.; CARNEIRO, T.; COSTA, S. S.; ANDRADE-NETO, P.; MONTEIRO, A. M.; AMARAL, S., 2009, Non-Toblerian Geographical Spaces. in HORNSBY, K., ed., COSIT 2009 (under review).

CARNEIRO, T. Nested-CA: a foundation for multiscale modeling of land use and land change. PhD Thesis in Computer Science.Sao Jose dos Campos: INPE, 2006.Computer Science Department, 2006.

CARNEIRO, T., CÂMARA, G., MARETTO, R., "Irregular Cellular Spaces: Supporting Realistic Spatial Dynamic Modeling over Geographical Databases". X Brazilian Symposium on Geoinformatics (GeoInfo 2008). Rio de Janeiro, Brazil (2008).

GALTON, A. Fields and Objects in Space, Time, and Space-time. Spatial Cognition and Computation, v. 4, n.1, p. 39-68, 2004.

GOODCHILD, M.; YUAN, M.; COVA, T. Towards a general theory of geographic representation in GIS. International Journal of Geographical Information Science, v. 21, n.3, p. 239 - 260, 2007.

GRENON, P.; SMITH, B. SNAP and SPAN: Towards Dynamic Spatial Ontology. Spatial Cognition & Computation, v. 4, n.1, p. 69-104, 2003.

GÜTING, R. H.; BOHLEN, M. H.; ERWIG, M.; JENSEN, C. S.; LORENTZOS, N.; NARDELLI, E.; SCHNEIDER, M.; VIQUEIRA, J. R. R., 2003. Spatio-temporal Models and Languages: An Approach Based on Data Types. In: KOUBARAKIS, M., ed., Spatio-Temporal Databases: Berlin, Springer.

PIMENTA,P., COELHO, A., COSTA, S; MOREIRA, E.; AGUIAR, A; CÂMARA, G., 2008., "Land change modeling and institutional factors: heterogeneous rules of territory use in the Brazilian Amazonia". X Brazilian Symposium on Geoinformatics (GeoInfo 2008). Rio de Janeiro, Brazil (2008).

MOREIRA, E.; AGUIAR, A. P.; COSTA, S.; CAMARA, G., 2008, Spatial relations across scales in land change models, in VINHAS, L., ed., X Brazilian Symposium on Geoinformatics, Rio de Janeiro.

HESTENES, D. Toward a Modeling Theory of Physics Instruction. American Journal of Physics 55(5): 440-454. 1987.

WOOLDBRIDGE, Michael; JENNINGS, Nicholas R. Agent theories, architectures, and languages: a survey. Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents, Amsterdam, The Netherlands, 1995.

WOLFRAM, S. Computation Theory of Cellular Automata Communications in Mathematical Physics, 96 (November 1984) 15-57.

WOLFRAM, S.Approaches to Complexity EngineeringPhysica D, 22 (October 1986) 385-399.

CÂMARA, G; PALOMO, R.; SOUZA, R. M.; OLIVEIRA, O. Towards a generalized map algebra: principles and data types. in FONSECA, F., ed., VII Brazilian Symposium on Geoinformatics, Campos do Jordão, SP.

PONTIUS, R. G. Statistical Methods to Partition Effects of Quantity and Location During Comparison of Categorical Maps at Multiple Resolutions. Photogrammetric Engineering & Remote Sensing Vol. 68, No. 10, October 2002, pp. 1041–1049

COSTANZA, R. Model Goodness of Fit: A Multiple Resolution Procedure. Ecological Modelling 47: 199-215. 1989.

CÂMARA, G., EGENHOFER, M., FONSECA, F., MONTEIRO, A., 2001."What´s in An Image?". In: D. Montello (ed), COSIT´01, Conference on Spatial Information Theory, Morro Bay, EUA, 2001. Lecture Notes in Computer Science, vol. 2205, pp. 474-488. Berlin, Springer-Verlag, 2001.

BITTENCOURT, O., CÂMARA, G., VINHAS, L. and MOTA, J., 2007, “Rule-based Evolution of Typed Spatio-temporal Objects”. IX Brazilian Symposium on Geoinformatics (GeoInfo 2007), Campos do Jordão, São Paulo, Brazil: INPE (ISBN 978-85-17-00036-2)).

SILVA, M.; CÂMARA, G.; ESCADA, M.I.; SOUZA, R.C., 2008. “Remote Sensing Image Mining: Detecting Agents of Land Use Change in Tropical Forest Areas”. International Journal of Remote Sensing, vol. 29 (16): 4803 – 4822, 2008.

MOTA, J.; CAMARA, G.; ESCADA, M. I.; BITTENCOURT, O.; FONSECA, L.; VINHAS, L. Case-Based Reasoning for Eliciting the Evolution of Geospatial Objects. In: COSIT (under review). 2009. p.

E.-C. MULLALLY, & D. P. DONOGHUE, 2006. Spatial inference with geometric proportional analogies. Artificial Intelligence Review, 26(1-2), 129-140. Comment: This paper discusses analogical reasoning for topographic maps.

E.-C. MULLALLY, D. O'DONOGHUE, A. J. BOHAN, & M. T. KEANE, 2005. Geometric proportional analogies in topographic maps: Theory and application. Paper presented at the 25th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK. Comment: This paper discusses analogical reasoning for topographic maps.

A. SCHWERING, U. KRUMNACK, K.-U. KÜHNBERGER, & H. GUST, 2009. Syntactic principles of Heuristic-Driven Theory Projection. Special Issue on Analogies - Integrating Cognitive Abilities. In: Journal of Cognitive Systems Research, 10(3). Comment: This paper describes the analogy moded which I (Angela) use. It does not have a relation to the spatial application area, though.