Abstract
This chapter presents a new method for assessing the complexity of landscape changes based on topology and graph theory as well as a method for assessing resilience of each land use type in the course of time on the basis of its topological properties. The former is based on Levenshtein distances applied to graph analysis (graph edit distances) and the latter infers resilience from changes in a network of landscape boundaries. The higher the graph edit distance between two graphs representing boundary changes during a time interval, the higher the complexity of the landscape transformations whereas the mean degree per patch of a land use type can be used as measure of its resilience. Calculations are carried out on example landscape maps and on maps of landscape change of the Sounio area (Athens, Greece).
Fools ignore complexity.
Pragmatists suffer it.
Some can avoid it.
Geniuses remove it.
(Alan Perlis, 1922–1990, “Epigrams on Programming”)
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References
Abreu, J., & Rico-Juan, J. R. (2011). Characterization of contour regularities based on the Levenshtein edit distance. Pattern Recognition Letters, 32(10), 1421–1427.
Adger, W. N., Eakin, H., & Winkels, A. (2009). Nested and teleconnected vulnerabilities to environmental change. Frontiers in Ecology and the Environment, 7, 150–157.
Arianoutsou, M., Koukoulas, S., & Kazanis, D. (2011). Evaluating post-fire forest resilience using GIS and multi-criteria analysis: An example from Cape Sounion National Park, Greece. Environmental Management, 47(3), 384–397.
Asllani, M., & Carletti, T. (2018). Topological resilience in non-normal networked systems. Physical Review E, 97(4), 042302.
Assumma, V., Bottero, M., Monaco, R., & Soares, A. J. (2018). An integrated evaluation model for sha** future resilient scenarios in multi-pole territorial systems. Environmental and Territorial Modelling for Planning and Design, 4, 17–24.
Baake, M., Grimm, U., & Giegerich, R. (2006). Surprises in approximating Levenshtein distances. Journal of Theoretical Biology, 243(2), 279–282.
Bengtsson, J., Angelstam, P., Elmqvist, T., Emanuelsson, U., Folke, C., Ihse, M., et al. (2021). Reserves, resilience and dynamic landscapes 20 years later. Ambio, 50(5), 962–966.
Berkes, F., Colding, J., & Folke, C. (2003). Navigating social–ecological systems: Building resilience for complexity and change. Cambridge University Press.
Bernholz, C. D., & Pytlik Zillig, B. L. (2011). Comparing nearly identical treaty texts: A note on the treaty of Fort Laramie with Sioux, etc., 1851 and Levenshtein’s edit distance metric. Literary and linguistic computing, 26(1), 5–16.
Biggs, D., Biggs, R., Dakos, V., Scholes, R. J., & Schoon, M. L. (2011). Are we entering an era of concatenated global crises? Ecology and Society, 14, 32.
Biggs, R., Schlüter, M., Biggs, D., Bohensky, E. L., Burn Silver, S., Cundill, G., et al. (2012). Toward principles for enhancing the resilience of ecosystem services. Annual Review of Environment and Resources, 37, 421–448.
Blumenthal, D. B., & Gamper, J. (2020). On the exact computation of the graph edit distance. Pattern Recognition Letters, 134, 46–57.
Blumenthal, D. B., Boria, N., Gamper, J., Bougleux, S., & Brun, L. (2020). Comparing heuristics for graph edit distance computation. The VLDB Journal, 29(1), 419–458.
Bunke, H. (1997). On a relation between graph edit distance and maximum common subgraph. Pattern Recognition Letters, 18(8), 689–694.
Concepción, E. D., Díaz, M., & Baquero, R. A. (2008). Effects of landscape complexity on the ecological effectiveness of Agri-environment schemes. Landscape Ecology, 23, 135–148.
Cormont, A., Siepel, H., Clement, J., Melman, T. C., Wallis DeVries, M. F., Van Turnhout, C. A. M., et al. (2016). Landscape complexity and farmland biodiversity: Evaluating the CAP target on natural elements. Journal for Nature Conservation, 30, 19–26.
Costa, D., Pirmez, L., Carmo, L. F. R. C., & Bacellar, L. F. H. (2011). Enhancing Levenshtein distance algorithm for assessing behavioral trust. Computer Systems Science and Engineering, 26(2), 77–85.
Cumming, G. S., Olsson, P., Chapin, F. S., & Holling, C. S. (2013). Resilience, experimentation, and scale mismatches in social-ecological landscapes. Landscape Ecology, 28(6), 1139–1150.
Doran, H. C., & Van Wamelen, P. B. (2010). Application of the Levenshtein distance metric for the construction of longitudinal data files. Educational Measurement: Issues and Practice, 29(2), 13–23.
Gabriel, D., Thies, C., & Tscharntke, T. (2005). Local diversity of arable weeds increases with landscape complexity. Perspectives in Plant Ecology, Evolution and Systematics, 7(2), 85–93.
Gali, Z., & Giancarlo, R. (1988). Data structures and algorithms for approximate string matching. Journal of Complexity, 4(1), 33–72.
Gao, X., **ao, B., Tao, D., & Li, X. (2010). A survey of graph edit distance. Pattern Analysis and Applications, 13(1), 113–129.
Gelcich, S., Edwards-Jones, G., Kaiser, M. J., & Castilla, J. C. (2006). Co-management policy can reduce resilience in traditionally managed marine ecosystems. Ecosystems, 9, 951–966.
Goli, J. D., & Menicocci, R. (2002). Computation of edit probabilities and edit distances for the A5-type keystream generator. Journal of Complexity, 18(1), 356–374.
Goli, J. D., & Petrovi, S. V. (1995). Constrained many-to-one string editing with memory. Information Sciences, 86(1–3), 61–76.
Henning, M., Herrmann, P., Zimmermann, T., Meier, M., Pietsch, M., & Schmidt, C. (2021). A scenario and monitoring based planning approach to strengthen the resilience of the cultural landscape. Journal of Digital Landscape Architecture, 6-2021, 123–132.
Holling, C. S. (1973). Resilience and stability of ecological systems. Annual Review of Ecology and Systematics, 4(1), 1–23.
Honnay, O., Piessens, K., Van Landuyt, W., Hermy, M., & Gulinck, H. (2003). Satellite based land use and landscape complexity indices as predictors for regional plant species diversity. Landscape and Urban Planning, 63(4), 241–250.
Lucash, M. S., Scheller, R. M., Gustafson, E., & Sturtevant, B. (2017). Spatial resilience of forested landscapes under climate change and management. Landscape Ecology, 32(5), 953–969.
McPhearson, T., Iwaniec, D. M., & Bai, X. (2016). Positive visions for guiding urban transformations toward sustainable futures. Current Opinion in Environmental Sustainability, 22, 33–40.
McPhearson, T., Iwaniec, D. M., Hamstead, Z. A., Berbés-Blázquez, M., Cook, E. M., Muñoz-Erickson, T. A., et al. (2021). A vision for resilient urban futures. In Z. A. Hamstead, D. M. Iwaniec, T. McPhearson, M. Berbés-Blázquez, E. M. Cook, & T. A. Muñoz-Erickson (Eds.), Resilient urban futures (pp. 173–186). Springer International Publishing.
Melles, S., Glenn, S., & Martin, K. (2003). Urban bird diversity and landscape complexity: Species–environment associations along a multiscale habitat gradient. Conservation Ecology, 7(1), 5.
Meyer, K. (2016). A mathematical review of resilience in ecology. Natural Resources Modeling, 29, 339–352.
Nelson, K. S., & Burchfield, E. K. (2021). Landscape complexity and US crop production. Nature Food, 2(5), 330–338.
Palunčić, F., Ferreira, H. C., Swart, T. G., & Clarke, W. A. (2010). Modelling distances between genetically related languages using an extended weighted Levenshtein distance. Southern African Linguistics and Applied Language Studies, 27(4), 381–389.
Papadimitriou, F. (2002). Modelling indicators and indices of landscape complexity: An approach using GIS. Ecological Indicators, 2(1–2), 17–25.
Papadimitriou, F. (2009). Modelling spatial landscape complexity using the Levenshtein algorithm. Ecological Informatics, 4(1), 48–55.
Papadimitriou, F. (2012a). Artificial intelligence in modelling the complexity of Mediterranean landscape transformations. Computers and Electronics in Agricutlure, 81, 87–96.
Papadimitriou, F. (2012b). Modelling landscape complexity for land use Management in Rio de Janeiro, Brazil. Land Use Policy, 29(4), 855–861.
Papadimitriou, F. (2012c). The algorithmic complexity of landscapes. Landscape Research, 37(5), 599–611.
Papadimitriou, F. (2020a). Spatial complexity: Theory, mathematical methods and applications. Springer.
Papadimitriou, F. (2020b). The algorithmic basis of spatial complexity. In Spatial complexity: Theory, mathematical methods and applications (pp. 81–99). Springer.
Papadimitriou, F. (2020c). The spatial complexity of 3×3 binary maps. In Spatial complexity: Theory, mathematical methods and applications (pp. 163–178). Springer.
Papadimitriou, F. (2020d). Spatial complexity in nature, science and technology. In Spatial complexity: Theory, mathematical methods and applications (pp. 19–35). Springer.
Papadimitriou, F. (2020e). The topological basis of spatial complexity. In Spatial complexity. Theory, mathematical methods and applications (pp. 63–79). Springer.
Papadimitriou, F. (2020f). Modelling and visualization of landscape complexity with braid topology. In Modern approaches to the visualization of landscapes (pp. 79–101). Springer.
Papadimitriou, F. (2023a). Modelling landscape resilience. In Modelling landscape dynamics. Determinism, stochasticity, complexity. Springer.
Papadimitriou, F. (2023b). Landscape stability, instability and civilization collapse. In Modelling landscape dynamics. Determinism, stochasticity, complexity. Springer.
Persson, A. S., Olsson, O., Rundlöf, M., & Smith, H. G. (2010). Land use intensity and landscape complexity—Analysis of landscape characteristics in an agricultural region in southern Sweden. Agriculture, Ecosystems & Environment, 136(1–2), 169–176.
Peterson, G., Allen, C. R., & Holling, C. S. (1998). Ecological resilience, biodiversity, and scale. Ecosystems, 1(1), 6–18.
Pettersen Gould, K. (2019). Precursor resilience in practice–an organizational response to weak signals. In Exploring Resilience: A Scientific Journey from Practice to Theory (pp. 51–58). Springer.
Pighizzini, G. (2001). How hard is computing the edit distance? Information and Computation, 165, 1–13.
Riesen, K., & Bunke, H. (2009). Approximate graph edit distance computation by means of bipartite graph matching. Image and Vision Computing, 27(7), 950–959.
Robles-Kelly, A., & Hancock, E. R. (2003). Edit distance from graph spectra. In Proceedings of the IEEE International Conference on Computer Vision 1 (pp. 234–241). Nice.
Roschewitz, I., Gabriel, D., Tscharntke, T., & Thies, C. (2005). The effects of landscape complexity on arable weed species diversity in organic and conventional farming. Journal of Applied Ecology, 42(5), 873–882.
Satake, A., Leslie, H. M., Iwasa, Y., & Levin, S. A. (2007). Coupled ecological–social dynamics in a forested landscape: Spatial interactions and information flow. Journal of Theoretical Biology, 246(4), 695–707.
Sauter, D., Randhawa, J., Tomateo, C., & McPhearson, T. (2021). Visualizing urban social–ecological–technological systems. In Resilient Urban Futures (pp. 145–157). Springer.
Scheffer, M., Carpenter, S. R., Dakos, V., & van Nes, E. H. (2015). Generic indicators of ecological resilience: Inferring the chance of a critical transition. Annual Review of Ecology, Evolution, and Systematics, 46(1), 145–167.
Selkirk, K., Selin, C., & Felt, U. (2018). A festival of futures: Recognizing and reckoning temporal complexity in foresight. In Handbook of anticipation: Theoretical and applied aspects of the use of future in decision making (pp. 1–23). Springer.
Sole-Ribalta, A., & Serratosa, F. (2011). Exploration of the labelling space given graph edit distance costs. Lecture Notes in Computer Science, 6658, 164–174.
Takahashi, S., & Izumi, T. (2006). Travel time measurement by vehicle sequence matching method-evaluation method of vehicle sequence using Levenshtein distance. In 2006 SICE-ICASE international joint conference (pp. 1625–1629). IEEE.
Uhl, A., & Wild, P. (2010). Enhancing iris matching using levenshtein distance with alignment constraints. In Advances in visual computing: 6th international symposium, ISVC 2010. November 29–December 1, 2010. Proceedings, Part I 6 (pp. 469–478). Springer.
Van de Leemput, I. A., Dakos, V., Scheffer, M., & van Nes, E. H. (2018). Slow recovery from local disturbances as an indicator for loss of ecosystem resilience. Ecosystems, 21(1), 141–152.
Van Nes, E. H., & Scheffer, M. (2005). Implications of spatial heterogeneity for catastrophic regime shifts in ecosystems. Ecology, 86(7), 1797–1807.
Verbesselt, J., Umlauf, N., Hirota, M., Holmgren, M., Van Nes, E. H., Herold, M., et al. (2016). Remotely sensed resilience of tropical forests. Nature Climate Change, 6(11), 1028–1031.
Wan, Z., Mahajan, Y., Kang, B. W., Moore, T. J., & Cho, J. H. (2021). A survey on centrality metrics and their network resilience analysis. IEEE Access, 9, 104773–104819.
White, I., & O’Hare, P. (2014). From rhetoric to reality: Which resilience, why resilience, and whose resilience in spatial planning? Environment and Planning C: Government and Policy, 32(5), 934–950.
Wu, J., & Hobbs, R. (2002). Key issues and research priorities in landscape ecology: An idiosyncratic synthesis. Landscape Ecology, 17, 355–365.
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Papadimitriou, F. (2023). Geo-topology, Complexity and Resilience. In: Geo-Topology. GeoJournal Library, vol 133. Springer, Cham. https://doi.org/10.1007/978-3-031-48185-7_5
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