Uygar Ozesmi

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Widespread use of spatial databases[24] is leading to an increasing interest in mining interesting and useful but implicit spatial patterns[14, 17, 10, 22]. Efficient tools for extracting information from geo-spatial data, the focus of this work, are crucial to organizations which make decisions based on large spatial data sets. These organizations are(More)
Fuzzy cognitive mapping was used to develop a participatory ecosystem management plan for Uluabat Lake, Turkey. Interviews were conducted with stakeholders belonging to six different groups. Lake pollution was the most central and most mentioned variable for stakeholders. Stakeholder groups agree that lake pollution is negatively affecting ecosystem health(More)
12 We review the use of artificial neural networks, particularly the feedforward multilayer 13 perceptron with back-propagation for training (MLP), in ecological modelling. In MLP 14 modeling, there are no assumptions about the underlying form of the data that must be met as 15 in standard statistical techniques. Instead the researchers should make clear(More)
1. Contrary to the generally high level of natal philopatry (i.e. likelihood that individuals breed at their natal colony) found in first-breeding colonial birds, little is known of natal philopatry later in life. Most hypotheses advanced to explain natal philopatry are valid at all ages. However, for young and inexperienced birds, the benefits of natal(More)
17 Separate artificial neural network (ANN) models were developed from data in 18 two geographical regions and years apart for a marsh-nesting bird, the red-winged 19 blackbird Agelaius phoeniceus. Each model was independently tested on the spatially and 20 temporally distinct data from the other region to determine how generalizable it was. The 21 first(More)
Spatial data mining is a process to discover interesting and potentially useful spatial patterns embedded in spatial databases. EEcient tools for extracting information from spatial data sets can be of importance to organizations which own, generate and manage large geo-spatial data sets. The current approach towards solving spatial data mining problems is(More)
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Fuzzy cognitive mapping was used to understand the wants and desires of local people before resettlement. Variables that the affected people think will increase their welfare during and after dam construction were determined. Simulations were done with their cumulative social cognitive map to determine which policy options would most increase their welfare.(More)
Many networks in natural and human-made systems exhibit scale-free properties and are small worlds. Now we show that people’s understanding of complex systems in their cognitive maps also follow a scale-free topology (Pk = k, λ ∈ [1.24, 3.03]; r ≥ 0.95). People focus on a few attributes, as indicated by a fat tail in the probability distribution of total(More)