20230322 16133600 1.0 TRUE TRUE UP_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 person. Besides WUP and its components, the next indicator was calculated:Urban Permeation (UP). UP is a measure of the permeation of a landscape by built‑up areas. UP is a product of PBA and DIS and describes the degree to which the landscape is permeated by patches of built-up area. It represents the spread of the built-up areas in the landscape. It is found useful to work with it in addition to the three components of WUP. UP is expressed in urban permeation units per m2 of land (UPU/m2). Values for landscapes of differing sizes can be directly compared because UP is an intensive metric, i.e., its value does not depend on the size of the landscape (Jaeger et al. 2010). Urban Sprawl Population density Build-up areas https://sdi.eea.europa.eu/catalogue/srv/api/records/b48b206d-a710-47c9-8805-6fafbd335a22 /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 KPekwfWgBaT0paKAIYZVmQsjKwBIypyMg4I/Agj8KmoooQBRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFQpKjvIqsCY22sAfunAOD+BB/GpqACiiigAooooAKKKKAC kJxS0nf3oAWj6UmeaaEUMcYyeT7n1oAeOlNJwQPWkyBzzz60uCR15/KkA6iiimAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAIRmjHbjHpS1GkaqgUA4Axkkk/meaAJKQZ70t FABRRRQAUUUUAFFFH0oAQnFHfpUEiymSIo6KobLgrkkYPA54OcHPPAIxzkSn0zgfSkMG+6cDOBxi ndx/hSAemSaQAIBnAJ49qAIp/NaGRYGVJip2My7gp7EjIyM9sipQTgZGCeveo1JLHqcfrz9aI2Zk BZSCRyGxx7HFK4WJgcjNLTV6D6U6qEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUzaASVGCeTx1p9MTdtG4546980gFJ6HtntQQCe9VZVbz4WW NWwTucsQVGO3HOSBkZHr2qZmYKduC2DtDHGT+VK47DlyWbKkYOAeOeBz/n0pZFDRkMAQRyCM0w53 g8jHXnrTlDEEMQck9BjijfQPMppK3mvBtlACBlnO3BLFvlHuMDqO4681YWRE8pSVXdwgz14zgfkf yqpc2zGJQspCGRd+Yy7EdMAjkHOPm5xz9Ra86CMxoZIwZGKINw+ZgCSB6nCk49j6VEb3syna10Wa KKK1ICiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiikJwM 4zQA12VcFiBjnmn1VSVWd1AbMbYJZSMnGeM9Rz1Ge/cGrVJMbCoJPNA/dqhO4YDHHGeT0POMn36c danpr52HBIOOvpQxEPkxec8yoolZVVmAG4gEkAn0BLfmaasoYSYDErxjBGTjPBPXr1HFQi6CwGee N4I1UvIJByuAD2yD36H8+abaX9vqE0qwHcYZGQ565VihOOoG5XXPGdpxkc1HMnsy+V9UX1AGTgA/ TFPoHSoJZViKbnRS7BRvbG4+g98Z/Kr2I3HuPkzz7e1OXv8ApVTDsiMZccjBXoBxkc9eh5x0P40R mYSkFU2buGBPK4GT067s8Z6c57VKlqW1oXaKKKsgKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAazBRk1VWRHmLI2Wx03cHHt+P8varL8rgYyeOag8hGlR2Ckxn cuV5BwRkenBI/OoknfQpWG3E8NuitNNHGGO0GRgM55wPwB/KoNNkl+yRRXDA3KIPMCrgDPQemcDn p64XIFR6tDBPaBpktN8cga2e8jDIk+dsbckc7iAMYJzgHmnRXQ80WMtxCuoFGfykkBcR7tocKecd OuQCcZPeNee5dlyGrVa4BeJo1maFnBVXXG5TjqMgjI68giob66NpZSzAK0qRs6oSRux/uhjjp0B+ hrGXWklMKKUuWkKvGBmNpEJblAciQKFz8pOR8wz8u51KsYuzCFKU1zI047y2M1zHJIA6bSwfG7BJ UfLjOCytjjnJxVyKdZV+6YyBkq2Mj8j7VlxWl0bWS3l8pWLLHE6u8jGNUHLs3LHduPPBBAJOTmTz JnvY90tm8DLuMYXDADJDhskMBlRjA7tn+Gs1NxKcU9jVkbaufTrxn9KPMAAzwTwAfXGcVnyxyvbv bNNKo8vy3ugyrIMocuMDAOcdsZ7cVYGQ5UHILckA8cD8zn9D7Vrz6mfLoIUkeSTZKwBXaBtHyn1H r1HtwPertRRqFHHf8unYdhUtVFEthRRRVCCiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACoZTL5TeWqF8HaGbAJ7ZODj8jU1FAFO4tWuYXjaZ03KQCgHyk9+QQS PcY9QaZHFFAkZZmmlUKDIyjeT03HAAHfOAO9SSiRWV13nqDzwB16d+mPXmoEXc6MxAcfK5VeGOMn 8OSf8msZPXbU0jqtytJbxtfi5a9kV5h5McMjEIzL5hICcbuCxI7hAe2arXNlBauLyOSSCS3t5E5Q zYUujM2B8zMdoI56nO0nNaSwJ9oBS4fAUsYWbP32zuJPzDoQACBjIxwMVb+b7CRIojVpGMYPll2L beCFBG4ALkqOcKfTNZTikrs1hOTlZD0mkVm8yNRIzZAEh45J6HgHaRyOCTjI4NL9igtEC29rBGig /KFxtz945HsDx39Rmons7qWAm1UWlwcujSKGWPO0FWCMN3Qnr2HPGKtCO6E7sRCEAJVy7MckDkjA H97v0x0yaEm1qgckn7rH5ZzHJhiNxGEbIA5GSDjpx6kHIqC0lnkhg82AxzlNzxnIVTtGRuGQcFsd fXGcVad1EG7ZvVT8oRd3bGMD8RVZ50mt7a4aK5ikkbEamFy0bspHzgZAA5yT8vTnpVve6ZCva1jS QEZJZjk5wcce1SUm4AZqNZdxxhgQMkEf16VvdGWpLRRRTEFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFQq29TgkDggjH1+lJsB7osiFWAZWGCCMgiqiPiSR eGlXPyo3AHbgng4xU/mr55jH3lUM3sDnH8jTRGWB3N8xyRleV/zmolrsWtNyjc2v/EumggVeY2VY 2XfGDtwF2kgY4A25APPTNWYXIgMj27Q7CUVCASVBwD8pPBxkDrgjIB4CMiyzMjPKdsfKjcowxPOR 1Py8Y5H41JZxTQWcENzP9onSNVkmKBPMYDlto4GTzgdKUY66DlLRJlOCe5g+S5iwvmFFkDliw5Kn p1IwOcc8c8ZtNFL8mGyyktwSozjGO/HJ9cfgKdNCZWidXYMhJAyQCcY5x14z7d8HApY/kkWNVwhU /d+6uD06e/6UKNtGwck9UUVEEN63mhmlClllZWwikjKhzwBhEJUHnGcUsUk1zPNbysFXy0Z9jtlS wYFEYKuMEA5yW+bkL8tapX8vSq8iFyHQ4fqM8jpjkZHrS5Gh8yZBMdsqyTGHyYssSY+QTwGDE4GB uBHJOR06G0kiFuJFO4AgZ/Ue3FQPdiBJpLhfs8MJwZpWUKwwDuHPAycc45B7YJfDFsA+RQTglgMb jjGTx1wB/Kns7InpqW6KKK1ICiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACqNkGFlAvmEgAKGIwWAHX8ev0ooqJfEv67Fr4WJll1AR7Y9jozktIS+RgYC4xtx1 OeuOOc1YVEKEABlfJOeQc/5/Kiihbk3uhLe3itUKQxpGpZnIUYyxOST6kkkk9yasUUVYhkYAQYBG ecGoWiJfeuA+QcuN3HGQOeOB+fPNFFK10O+o5EZQBuLDJznGfb8qfyQQvY45yKKKLdAuRhN4DB22 kfdwB179Mg1KTtwMHngYHSiiktrg9yCdZHACMgGfnDKTuX04PHb1+nNWMYB9cUUU7a3C4xiwBI54 zgdT9P0p3O3I5PbsKKKLACbgoDEFsckDjNPoopiCiiigAooooAKKKKACiiigD//Z