GIS coaching for territorial management.
After the two articles on converting a raster to fuzzy values: We will sees dans cet article comment agréger deux rasters flous en prenant en compte la subjectivité de l’utilisateur. Settings window In the FuzzyAttributes plugin…
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In some cases, the data is not continuous (altitude, slope, distance, etc.), but discrete, i.e., consisting of classes. Each pixel then corresponds to a category: a soil type, land use, risk level, etc. These “categorical” rasters…
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Version 2 of FuzzyAttributes extends the plugin’s capabilities by directly integrating fuzzy transformation of rasters, in addition to vector attributes and text → fuzzy mapping. This allows you to work on continuous data (e.g., indices, altitudes,…
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Consultation and negotiation: understanding, dialogue, building together In regional, environmental, or development projects, decisions can no longer be imposed unilaterally. Stakeholders—whether citizens, institutions, businesses, or associations—expect to be listened to, consulted, and involved. Two approaches are…
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Introduction In spatial analysis, criteria are often applied strictly: yes/no, inside/outside, above/below a threshold. But reality is rarely so clear-cut: is a municipality with 4,900 inhabitants really so different from another with 5,100? Fuzzy logic allows…
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In the first part of this series, we saw how fuzzy logic allows us to go beyond rigid thresholds by assigning each spatial entity a degree of membership between 0 and 1.We explored several membership functions,…
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