20230322 16260400 1.0 TRUE TRUE DIS_1km_2006y The new urban sprawl metric, named „Weighted Urban Proliferation“ (WUP) is based on the following definition of urban sprawl: the more area built over in a given landscape (amount of built-up area) and the more dispersed this built-up area in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilization intensity in the built-up area), the higher the degree of urban sprawl. Weighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas, the dispersion of the built-up areas, and land uptake per personPercentage of built-up area (PBA). Degree of urban dispersion (DIS) characterizes the settlement pattern in a geometric perspective and is based on the distances between any two points within built-up areas (average taken over all possible pairs of points, up to a maximum distance called the horizon of perception). The farther apart the two points, the higher their contribution to dispersion. This metric is expressed in urban permeation units (UPU) per m2 of built-up area. Higher values indicate a higher dispersion (between 0 and 49.7 UPU/m2). Dispersion is weighted by the w1(DIS) function to make those parts of the landscape where built-up areas are more dispersed more clearly perceived (w1(DIS) > 1), while compact settled areas are multiplied by a lower weighting (i.e. < 1). Urban Sprawl Population density Build-up areas https://sdi.eea.europa.eu/catalogue/srv/api/records/07809c04-c010-4203-85ef-bb801dec84a3 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KhKDeH5JAIwG45x26dv85oCvkFnY4ByMDBz/AIf5zSuAb93mBMhl45U4zjP4jntTJFlaSEozKqtl xxyNpGOh7kHjHTr2M5UHB54OetMjRI0CIoVFGFVRgAegoGR206TrlJI3GAQY23Ag9/zB/KrNFFCV lqJ+QUUUUwCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiim7hu29wM0AOoqtD MshkAGGjcqw44PUdPUEH8as0J3AKKKKACiiigAooooAKr3Mxhh3iOR/mVcIuTyQM49BnJ9gasVCy gyhhncAR3xjIz7f5+tJ7aDW4kMjzQJI8LxMyhijkFlJHQ4JGR7Ej3pgIdJDDICSxG4ncAw46Z7Ec jjvQ8wjnSP70kgyEBGcAgE4J6DK5x6ioB5CX5i84M7jf5B5OQc7/AFx0GTwMKBjvMpWGo3LUL74F cOr7gDvTo3uOvFOZtrIACdxxkduM5P8AnvVK4uoLO4RpCwkn+RQeBhck8nAGAWbGckKcZxTvKeaJ nLyMXGUTLRBcggdPmHB5z3GQAaXN06hy9XsaFFFFaEhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQBXnRnjJj2CQZKM67grYxnGR6+oqBGVZjAAsXzswUgfvFwCzAA/wB5uSR1 7cgm/VRLK3QghMsAcOSS/PX5jz2HfsPSokne6GmrWZbqtF537wSbSNxKkHkg9iMcY6d84qdlDKVY AgjBB706qtqIKKKKYBRRRQAUUVXmMwTMAQyZAw7EADIyeAeQMnHfpkdQATM4XGSBk4GT1qsV2SM6 oXPXGeRx2zxzheOB3qC7t7qdfKguntVfJeaPaXXpgKHVl9ckj8MnIdds25E84xJy0jeW33cEcMCA pBKnnPAPHcZyfcpeQ2R1mtS8Vuk6IgktyjKQ5x8u0ngH0PTkc9cTMALtGAAZhtY+USWxkgbuwHzd fX35zbe0jhWSO1kmlkKIFkmkLKyHJLKwPBbBBYc5AYg9TPbRWukwRKyQ2zzlEcR52tJtwOT1OFwC eThR6Csoyb1ehrKKWiLVzIxjuI7do/tIjyiluhOQpOMkDIPOOx9KIZpPLiWZCszZBGQeR1OR298D qOATisfTrj7bI00Vy90yZBMUhWN/mVgy7XZQNu3AOCRnJ5amabcCewuTdP5ivuWYyqJPKJcja5AG RznaQNgyGwMVKrXf9dP1/wCH2KdBqLXa34/p/wANub1rcR3UAmibcjZw2CAcHGRnqPQ9CMEcGrVZ 2nyJ5MdtlPNiiRiirs+U5Cnbgbc7Tx2wR2rRrphK6uc8laTQUUUVQgooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoopirtBySeScnFAD6pPbHf5kJ2SZyf7rZA GWHfoPfjGQCasSIkiFHUMjDDKwyCPQ1naYbmbTrZ71yZWjRpAQEYSZywIUkAA4GMnoQSaiWrsUlp cnMySwrJDMHiExV2jfPKkqV4B5DDBHHIOe4LZ4oywZzKXXjIUnKs3KkYwRxg+g5461T1JXQtdiC3 nihUyLuGXilUEZXJ2kHCjBKBcElueI11WU3Utvv8qVlkaNJYmY5BYLjaBnhN+zJchj0C84ymr2ka xpya5omgII2vXm8rbIpZN3lgbgQhJ3YyfuqPTjBzgVDruBod2zLuVU3EeWJOAc52kEN64P5jqMW7 vpLbVI7mKK4hVcM8IcoJYmdd8gRsKAhlVnZlDfMRuG052brTZ9Qt760vblHsrpXj8uOMoyoVUAbt xz/GTxzuA4A5OfnjKKQ3D2coyk9NP6/r0OSstRaSSJLB4xFbI4hJjAZpJDKRGCwyMhQN205ZOhBI O1oOoRQW1hZ3Mwt5pVZreF5w5dPlzyzMcBmKgZzgDjg4z/8AhAyskhk1R5IZpg8gktUkkPLZO85w Tv5IAHHTGQei0y107S42s7SSJZHbzHQSFiXIIzhmJH+rbjP8J9DXJh6VaMlzafP06fI7cVWw8oPk 1v8A8Hd+r7fdc2AMdyaWiivUPKCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiimOSozjIHXHX8KAKVz5f2u0eaRAqsxRSpz5m085BwAF35BB6jkY50K5ga5aX OsXEAWO2+zmPF5OhAZhJIjICwAz8rgEMfvHjgiunrKnJSbsa1IShZSCqs/2gKfJ8vOR97PTufw64 79OOtWqpahdfYtOubkAnyYnkwCBnAJ6ngdO9XJ2TZnFNtJFa/tVuopYYGijuf3cmcDcMPuUng45D YJBwcnB5FYlrdl4L2CVLeYX6yzKsRO+QEL6lTKNp2hk42xjB5AFnR5blLrUb7VLdrbzGSMSO/wAj KoCgIp5GXZzg9dwxuyTUcV5Zy6zcaQ9jLcIWaaPdhonBcLIf3jfeVzISF429MnArik1O0k7N6W/L Q7oxcLwaulZ3+Svr5foaekq0iSyzwLHchyGxamEjIDEcswbk8srFSR7Vs1FEu2JF2KuFA2r0HsPa qt7LJGYGWWGJRKN4k4Drg5APYj73/Acd8jrVoRONtzkZuo2iT6Yk+Z2KOj27NlHtwQqlvmUkEAsS WBYbm5Ha5p0kJ86K3TEduUhQ/LjaEUqAQSSMNnnH3q5+O6tptPeMaigFow8u5huwRAz+YCrA5YFU P8akKGHXYzVc0KBob1ljubmeIK5aWWJlErM3zMGwAcMrEADGJNwJya5IzvUTS3/4P9fJHXOnalJN 7f8AA/r1bOpooorvOEKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAoX+o22mW/2i7mWNM7QT1Pc4HfABJx2BPauLTUb7UvFkV1p7MiAAGCW4KpIN+1tyAkBgnmE Ln+Hfjqp6nXUvJNMeGxjhe5mbylMxGFDAgsARhsAkkemeGxtPPeHfC1xZ65FqsxBj8g481AkhZ8H /VqAseASuMnoeOcjgxPtZVYxjsejhfYwoznP4rWS/r/MveJLaG2s5LkusFv5UsU2xWZn8xhlVjUY JOWYsMHKrkld1XvDN5De6NB5EhliiVUWQuH3AAYyQzZI6HODkE4GRXM+MLeW7spPIt7uEC//ANIl l2osh2lFIOcbdrAZIAIAywI5TQpri21S3ssPPqpRo5Zigf7NBuJCMQ3OGBIBKlRIo2ngVl7fkxDs tP6/r7zX6vz4VNy1u/lp/X4aHo1UL29tLVNt1exWpZSVaSRVPHUjdxxkfnWdrmqtpWlRiSaM302I oyAVBc4DOF+YgLy2OegHJIrgbm8fVrmOCS2hvJrWVkLKVknnUOzcMrMygoJAAMgB+x2kb4nFqm+R LX+u2phhcDKsud6R/rvodUuv6OJtQt76aRVgP7wuWmRkXYMYK8ggA9D1cg9TVrSNc0eYNpNsktks MYKpINm9WUsSjA5Y4yxIOe+TzVCyhb7KhngC6g7lEW7YSzXCKqSOEJKhzvXgk7Fxx8mKp3CJNe2U FrfWhRbwvbwxW6BNrbmeQSBdu+JXl24I5XJ3E4PPGpOLUnbXy3/E3lSpyTir6a76K3Xb1O4uZGjQ lCo24Y5UsdoIyAo5JxnHuRwal84BlDBgzcY2k84J6jjsf8kVz9813NeyWcpI06QiCcgb22lQd2Am FDFirZJGBkbTuIox2dvdreW9nLNJbSPmaWJS6MCwZsBsq5yCDwSVccsQRXTLE2lojkhhk4pydv6/ rQkGnX17cSpa3KrbwyZQOu3y3DhlQYJOAqoCMKB8pwWDCuyqjZpAkIFsqrETkBBhfqo7A9eOvXvm r1a0KSgr9zOtWdR26IKKKK3MAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigApjlgh2gFscAnGT9afRQByv/AAjEt9dtdatqFxPuG5LRX/dQMQc44AfbkBSVB4yc kmqUMXhHw3cwXkCKLpm8hpDIWeHI3MWVj+77ZwAfmAxzip9bg120uZL221GcWihvMA8pyifeJCFF HyjcOrE8e9cPZhtVuPO1GKGZHmcqxjVgXBLO7x8ltvXC9FPUZU149etGlO0Ye93Z7eHoTq07zqe7 2Tt8n/TZuRaXNrdyL2O+uXhmWHy5LpVPnK7mR1XoCqAZK4wdpG3AU1amsdOtYPJltLqK68p5WgGx jOGILRY3YkCJjgnYeuGwwFyHTrB47O5SeGbzIozBazOigxMQm8DAA3KUBG08ExjgqBDNqllaSXsF zb25gjBtn2LvdgFKKHJwjKV52kjnI2/KWqXCMPel166/1f5j9pOp7sNl0Vl8vNfL0YHW7K8iNtc3 F1DLPCszS29y0axEiVi67mDbcKfmGUOV7c1TbTmC+Z5DK5WNmtVuZI1tW8oE7nLjI4kJUAEqTuPI FWLey1S+S5/s2NrFpJpJRM18ON5AK7FUkEeXt2nbtyeSy1Ja6FrGmSIRe2tzMseXku94Cls7irAA lsAgtnOACeowpRnNK8b+f/D/AOX/AACMoU27Ss+17/l/n/wSeA2FtNd387xRyZd4Y4jNCJCwUuxH zMwZ4yAW3ZRgvABBpulsttp0U1rbTSxwMXNzEYty/LuzkNuOWILEAc/KBkkaTXFzPb20tv5lxau5 AaKKORtqKDjj5QG2yRnAOS4IZRgVeeEStFqCQOJTlYlELI6b8Z3jOCAdzHI78c/e2VGL1XT+v68z B15pWl1/pL87tvYvW0UyPLO8twwl2sIZNmIuOQNo/Pk+3veqrNdRWyBpXChmxz/n05PoAT0FVLLU 47xvLKPHcIuZYipIQg7SN2MH5gQCOu046GvRUoxtG55rjKScrGrRRRWhAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUVDKZfKby1Qvg7QzYBPbJwcfkaxrC6u 72e9ikmVYAymGaJRuVWUPhicqThscZ4GT1FZyqKLS7lxg5JvsbMkUc0TRyIrowKsrDIIPUEV5+bF I72807SW2SiaaaFbRlMcWY3jyfmBjYEsuQeCuMABQewu7q5jXMKqpVS8gcKxUbGIz86gfMo5ye44 HzDITQBeym7u5xHe3MQk8tY9oVwGXeYyxBZQ6DdjI2Lz2rlxK9pZRWq+R14WapJuT0fz/Aw7jSvJ 003du+IbdvPlMihhGcyOYnRjyV3qOBnLOep21dSyl8P6cNQZbdtSdRaW6RIcXHAMYJ3E8FScqQCg AKcKq7cemWd9FJZ3NwLtBuMsUf7tWJdvmbb1OVI5PVSeta1pD9ntIISVby4wpKpsBwMcKOAPbtWd HC6822n4/wBdma1sZpyvXXXzXz/y9DkbfXNZ0yWLT9RtGmuwkQ86M7hNgtkDcUXe23C8gnOSDtKi 1LourxXVs8N5GzeblpY7aONYYl3hI1HJxtkcZJbBwQBk509U086laF7RmiuEkaSM5aINIFKAsRhs Y4yO2OGHBi0qRbOSKyVYVEpnIS1yYoyshJA4z/HhjkKGXAAJxVeza9ybduj+f9f1tDqprnppX6q3 k/u9DJtJoNC+0213PcM1ugEHmucAKd2xSi8DBiyADuBUYydg1tO1SK6EcMElosQRSI7Z2kIQ/IAA FXbg4z129CBwatXFhE0AXymkjiKyiD7xdkJYfebaSWIOT35zkArlz2MF9qUOoiEyXLJIxjYeamxV 2NCcuFDkv9OGHdiRQqUrJbdvL1/4YHOlWvKWj7+fp0v36GndEyKPMFuyx/vIXaEuqnICPkkDK5PA OT1BHSp7Y4ndvtIcTAMkefQYLLkng8dOO/UkmotxfSTT8JFaDKm4kUo24YDEKx4GQdp6HJPQAyO0 6CUNFcLuSCSEMISqfujhAqjYcdAf7/XhgODum+Y5mlybm1RRRXSYBRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEMriKJnbdhQSdqlj+AHJ+grnfC0l5/YVkl6D buyr5cR+YBAgICtnJPfn0IAwM0UVz1P4kf66o6Kb/dSXd/kmaaPdf2jJbzRobdk8xZOcnsUxk9OC TwDuAAPJp4WN5SsCqyS5kmfZuVwRtA3Z5PA9cBccZFFFO1nYj7Ny1BClvGI4k2jr6knuSe59z1qx RRWyVtjJ76mbpQt102IWtvJbwfNtikjMZTk5G09BnOB0xjHGKjuNKgmvFu1OJ/MjLM5LgqhztAJ+ X1+XHIBORkEoqFCM4LmRpKUoVHysRUvRLZyQlkgUFZ4JsM5BAKkMCeVPB5OQW6nBM8LMGeAs7S7n O7y3CgZBGCcg4DAdcEg4AwQCipa5bAnz6MrW9iZLVBPNvOCybbYRLGxJIdVYEqwDY5J6dM5qwYxa 2KW1rHIiALDF5AXMS9MjdxhRzznpjBOASiiMUkrClNtu5WuIJ7m1MS3aTQBQsg2nfIV3BwWQjGTt 4C8EMMEHAfJZCCFCiSTgRmFoCVCPvKgswPGFAPA6KWAB4FFFJQTd2U5yStfQeqXiXEksk+5XiUi2 UKdjANu2MQpOSU5b07Zpqi5nt4myftBdo2bayJtDfMdu/PIXCtkkbgcYJFFFPl1sLm0uaUe/y18z bvwM46Z9qkoorZGYUUUUAFFFFABRRRQAUUUUAf/Z