02697oam 22004814a 450 991051142630332120220127025501.00-88099-676-5(CKB)4100000011436634(MiAaPQ)EBC6341228(OCoLC)1236160390(MdBmJHUP)muse81805(EXLCZ)99410000001143663420200826d2020 uy 0engur|||||||nn|ntxtrdacontentcrdamediacrrdacarrierAlternative Economic Indicatorseditor, C. James HuengKalamazoo, MI :W.E. Upjohn Institute for Employment Research,2020©20201 online resource (1 online resource vii, 123 pages) illustrations0-88099-677-3 1. Alternative Economic Indivators / C. James Hueng -- 2. Getting It Wrong: How Faulty Monetary Statistics Undermine the Fed, the Financial System, and the Economy / William A. Barnett and Kun He -- 3. A Closer Look at the Chicago Fed’s Activity Indexes / Scott A. Brave -- 4. Nowcasting the Great Recession / Domenico Giannone, Eric Qian, Argia Sbordone, Mihir Trivedi, and Patrick Adams -- 5. Real-Time Measurement of Business Conditions, Macroeconomic Surprises, and Uncertainty: Is a Recession Looming? / Alessandro Barbarino and Chiara Scotti -- 6. Rising Policy Uncertainty / Steven J. Davis -- 7. Measuring Economies from Space / Adam StoreygardPolicymakers and business practitioners are eager to gain access to reliable information on the state of the economy for timely decision making. More so now than ever. Traditional economic indicators have been criticized for delayed reporting, out-of-date methodology, and neglecting some aspects of the economy. Recent advances in economic theory, econometrics, and information technology have fueled research in building broader, more accurate, and higher-frequency economic indicators. This volume contains contributions from a group of prominent economists who address alternative economic indica.Economic indicatorsfast(OCoLC)fst00901996Economic forecastingfast(OCoLC)fst00901942Economic indicatorsEconomic forecastingElectronic books.Economic indicatorsEconomic forecastingEconomic indicators.Economic forecasting.338.542Hueng C. JamesMdBmJHUPMdBmJHUPBOOK9910511426303321Alternative Economic Indicators468304UNINA02795nam 22004575 450 991104910390332120251225120413.03-032-04523-110.1007/978-3-032-04523-2(CKB)44564762300041(DE-He213)978-3-032-04523-2(EXLCZ)994456476230004120251225d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierDigital Elevation Models for Environmental Studies /by Adriano Rolim da Paz1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (XX, 386 p. 249 illus., 244 illus. in color.) 3-032-04522-3 Introduction -- Geographic data -- Basic operations with rasters -- DEM: concepts, data sources and preparation -- Basic characterisation of the relief -- Flow directions -- Drainage network -- Watershed -- Lake formed by constructing a reservoir -- Quality, uncertainties and errors associated with DEM processing.This book offers a comprehensive examination of Digital Elevation Models (DEMs) and their applications in environmental analysis, combining foundational concepts with practical methodologies. It introduces key principles of geoprocessing and GIS, provides an in-depth overview of global DEMs and their limitations, and systematically explores techniques for terrain characterization, flow direction and drainage network extraction, basin delineation, flow path analysis, and inundation mapping for applications such as reservoir planning. Three dedicated chapters on topographic indices bridge theory and practice in hydrology, ecology, and wind exposure studies. The final chapter addresses the critical role of error and uncertainty in DEM processing, emphasizing quality assessment in hydrological modeling. Richly illustrated and grounded in current research, this resource equips students and professionals to effectively integrate DEMs into environmental studies.Environmental engineeringCivil engineeringChemical engineeringEnvironmental Civil EngineeringEnvironmental Process EngineeringEnvironmental engineering.Civil engineering.Chemical engineering.Environmental Civil Engineering.Environmental Process Engineering.628Rolim da Paz Adrianoauthttp://id.loc.gov/vocabulary/relators/aut1886186BOOK9911049103903321Digital Elevation Models for Environmental Studies4521581UNINA