LEADER 03851nam 2200913z- 450 001 9910566458703321 005 20231214133134.0 035 $a(CKB)5680000000037794 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/81211 035 $a(EXLCZ)995680000000037794 100 $a20202205d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNighttime Lights as a Proxy for Economic Performance of Regions 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (196 p.) 311 $a3-0365-3437-7 311 $a3-0365-3438-5 330 $aStudying and managing regional economic development in the current globalization era demands prompt, reliable, and comparable estimates for a region?s economic performance. Night-time lights (NTL) emitted from residential areas, entertainment places, industrial facilities, etc., and captured by satellites have become an increasingly recognized proxy for on-ground human activities. Compared to traditional indicators supplied by statistical offices, NTLs may have several advantages. First, NTL data are available all over the world, providing researchers and official bodies with the opportunity to obtain estimates even for regions with extremely poor reporting practices. Second, in contrast to non-standardized traditional reporting procedures, the unified NTL data remove the problem of inter-regional comparability. Finally, NTL data are currently globally available on a daily basis, which makes it possible to obtain these estimates promptly. In this book, we provide the reader with the contributions demonstrating the potential and efficiency of using NTL data as a proxy for the performance of regions. 606 $aResearch & information: general$2bicssc 610 $apopulation reorganization 610 $apopulation density 610 $aspatiotemporal patterns 610 $aDMSP-OLS 610 $aNPP-VIIRS 610 $aChongqing 610 $aeducation inequality 610 $anighttime light 610 $aurbanization 610 $asustainable development 610 $ahuman development 610 $aurban hotspot delineation 610 $aZipf's law 610 $aintra-urban scaling 610 $astreet nodes 610 $aVIIRS imagery 610 $akernel density estimation 610 $aLuojia 1-01 satellite 610 $aspatial resolution 610 $asearching radius threshold 610 $aurban built-up area 610 $aattention-augmented CNN 610 $anightlight 610 $afine-grained GDP estimation 610 $adaytime satellite imagery 610 $aarbitrary area representation 610 $aLuojia 1-01 610 $aMNUACI 610 $aurban area 610 $aurban remote sensing 610 $aVIIRS 610 $aDMSP 610 $aGDP 610 $anighttime lights 610 $across-sectional 610 $atime-series 610 $aeconomic statistics 610 $afunctional urban areas (FUAs) 610 $aboundaries 610 $amultiple regression modelling 610 $aartificial light-at-night (ALAN) 610 $aoptimal threshold 610 $ashadow economy 610 $aIran 610 $asanctions 610 $aJCPOA 610 $aeconomic inequality 610 $anighttime light emissions 610 $aspatial measurement 615 7$aResearch & information: general 700 $aRybnikova$b Nataliya$4edt$01326287 702 $aRybnikova$b Nataliya$4oth 906 $aBOOK 912 $a9910566458703321 996 $aNighttime Lights as a Proxy for Economic Performance of Regions$93037267 997 $aUNINA