[{"data":1,"prerenderedAt":105},["ShallowReactive",2],{"portfolio-project-modellierung-oekologischer-korridore-en":3},{"project":4,"businessAreas":61},{"name":5,"slug":6,"area":7,"title":14,"links":15,"titleImage":16,"paragraphs":20,"tasks":28,"client":40,"duration":41,"tools":42,"clientRef":43,"tags":53,"gallery":58,"videos":59,"__typename":60},"Modeling of ecological corridors","modeling-of-ecological-corridors",[8],{"flatData":9,"__typename":13},{"title":10,"slug":11,"__typename":12},"Geospatial","geo","BusinessareaFlatDataDto","Businessarea","Methodology for identification and designation of ecological corridors in the ENI Carpathians",[],[17],{"url":18,"__typename":19},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F3ef00c46-be3f-43d2-b438-a7d213a69712\u002F","Asset",[21,24,26],{"text":22,"__typename":23},"Based on previous initiatives on connectivity for wildlife in the Carpathians, the OBWIC project (Open Borders for Wildlife In the Carpathians) developed a methodology for identification and designation of ecological corridors of trans frontier interest in the ENI Carpathians (Hungary, Slovakia, Romania, Ukraine). The project area covered approximately 4 million ha. Umbrella species used for connectivity model are brown bear, Eurasian lynx, grey wolf and golden jackal.","ProjectDataParagraphsChildDto",{"text":25,"__typename":23},"For the identification of ecological corridors, a Habitat Suitability Model (HSM) was created. It defines core areas, which represented large areas of forest habitat. Due to the fragmentation of large carnivores’ habitats, linkage landscape structures were identified between previously drafted core areas of distribution. These linkage areas contain usually less favourable habitats for large carnivores but structurally allow the movement\u002Fmigration of umbrella species between core areas. Mainly based on the HSM and OSM data, the conception of a Habitat Resistance Model (HRM) enabled the definition of the ecological connectivity model which identified the ecological corridors.",{"text":27,"__typename":23},"For the designation of ecological corridors, the focus was set on critical connectivity zones (bottlenecks). Spots with critical permeability, due to presence of barriers, settlements, etc., were also subject of field inspection.",[29,32,34,36,38],{"text":30,"__typename":31},"Definition of core areas and stepping stones","ProjectDataTasksChildDto",{"text":33,"__typename":31},"Conception of a Habitat Suitability Model (HSM)",{"text":35,"__typename":31},"Conception of a Habitat Resistance Model (HRM) based on HSM and OSM data",{"text":37,"__typename":31},"Designation of ecological corridor (Ecological Connectivity Model)",{"text":39,"__typename":31},"Identification of critical points on ecological corridors","WWF Romania & SOS BirdLife Slovakia","2020 - 2021","Circuitscape, MapStore, Maxent, OSM",[44],{"flatData":45,"__typename":52},{"name":46,"link":47,"image":48,"__typename":51},"WWF","https:\u002F\u002Fwww.worldwildlife.org\u002F",[49],{"url":50,"__typename":19},"https:\u002F\u002Fcms.spatial-focus.net\u002Fapi\u002Fassets\u002Fspatialfocus\u002F8cf171ea-6b57-4a69-b987-2dee2b47087e\u002F","ClientFlatDataDto","Client",[54,55,56,57],"MapStore","Maxent","OSM","Circuitscape",null,[],"ProjectFlatDataDto",[62,75,84,96],{"title":63,"slug":64,"icon":65,"tags":66,"description":74,"__typename":12},"Web Solutions","web","fas laptop-code",[67,68,69,70,71,72,73],"C#","ASP.NET","Blazor","DDD","Azure","Kubernetes","PostGIS","Complex applications only unfold their true value when they are easy to access. That is why we develop modern web solutions that present geospatial and domain specific data in an interactive and comprehensible way. With cloud hosting, open interfaces, and scalable infrastructure, we create systems that are flexible to use and noticeably simplify the daily work of users.",{"title":10,"slug":11,"icon":76,"tags":77,"description":83,"__typename":12},"fas map",[78,79,80,81,82],"POSTGIS","Geoserver","Geonetwork","OGC Web Services","RDF","The true value of geospatial data lies in its interpretation, and this is where our modelling approach begins. By combining remote sensing, statistics, and machine learning, we develop models that reveal spatial patterns and complex interrelationships. In this way, diverse datasets are transformed into clear insights that provide research, administration, and practice with a reliable basis for decision making.",{"title":85,"slug":86,"icon":87,"tags":88,"description":95,"__typename":12},"Mobile Apps","mobile","fas mobile-alt",[89,90,91,92,93,94],"ASP.NET CORE","GOOGLE FIREBASE",".NET MAUI","Xamarin Forms","Android","iOS","Mobile applications bring data exactly where it is needed whether in the field, in operations, or on the go. Our solutions are intuitive to use, work seamlessly across platforms, and are built on modern open source technologies. They are designed to operate reliably even offline and to integrate smoothly into existing infrastructures.",{"title":97,"slug":98,"icon":99,"tags":100,"description":104,"__typename":12},"Consulting","consulting","fas user-tie",[101,102,73,103],"OGC Standards","ISO Standards","Cloud","We support companies and institutions in meaningfully connecting geospatial and domain specific data and transform them into sustainable strategies. Our consulting is based on open standards and open source technologies, ensuring that new infrastructures not only work technically but also remain reliable, future proof, and sustainable in the long term.",1783525756595]