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Extreme hydrological phenomena are one of the most common causes of human life loss and material damage as a result of the manifestation of natural hazards around human communities. Climatic changes have directly impacted the temporal distribution of previously known flood events, inducing significantly increased frequency rates as well as manifestation intensities. Understanding the occurrence and manifestation behavior of flood risk as well as identifying the most common time intervals during which there is a greater probability of flood occurrence should be a subject of social priority, given the potential casualties and damage involved. However, considering the numerous flood analysis models that have been currently developed, this phenomenon has not yet been fully comprehended due to the numerous technical challenges that have arisen. These challenges can range from lack of measured field data to difficulties in integrating spatial layers of different scales as well as other potential digital restrictions.The aim of the current book is to promote publications that address flood analysis and apply some of the most novel inundation prediction models, as well as various hydrological risk simulations related to floods, that will enhance the current state of knowledge in the field as well as lead toward a better understanding of flood risk modeling. Furthermore, in the current book, the temporal aspect of flood propagation, including alert times, warning systems, flood time distribution cartographic material, and the numerous parameters involved in flood risk modeling, are discussed.

flood maps --- flood risk management --- HAND model --- WebAssembly --- flood risk mapping --- web systems --- floods --- urban flooding --- flood analysis --- design floods --- HEC-HMS --- HEC-RAS --- dam break --- unsteady --- flood mapping --- Kesem --- flood risk --- poorly gauged watersheds --- regional flood frequency --- flood modeling --- GPU-parallel numerical scheme --- bridges --- story maps --- disaster risk reduction --- slide --- GARI tool --- risk communication --- climate change --- flood early warning --- forecasting --- hydrological extremes --- machine learning --- Andes --- Nilwala river basin --- coupled flood modelling --- iRIC --- n/a

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The landscape of healthcare is dynamic, gradually becoming more complicated with factors beyond simple supply and demand. Similar to the diversity of social, political and economic contexts, the practical utilization of healthcare resources also varies around the world. However, the spatial components of these contexts, along with aspects of supply and demand, can reveal a common theme among these factors. This book presents advancements in GIS applications that reveal the complexity of and solutions for a dynamic healthcare landscape.

Humanities --- Social interaction --- GIS --- urban health --- health clusters --- kernel density --- hotspot analysis --- healthcare planning --- health geomatics --- public health --- emergency medical facilities --- traffic jam --- megacity --- network-based location-allocation model --- Beijing --- healthcare critical infrastructure --- geovisualization --- geographic information system --- colored petri net --- COVID-19 --- social media data --- sina weibo --- spatiotemporal characteristics --- automated external defibrillator --- public access defibrillation --- out-of-hospital cardiac arrest --- resuscitation --- risk mapping --- geographical accessibility --- local scale --- municipality --- healthcare services --- spatial planning --- decentralization --- usability assessment --- web GIS --- cancer --- service area --- geospatial health --- spatial disparities --- accessibility --- subway expansion --- public transport network --- cross-border cooperation --- geographic information systems --- Iberian borderland --- strategic planning --- sustainable planning --- disaster preparedness --- smart cities --- sustainable cities --- food desert --- regression analysis

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Extreme hydrological phenomena are one of the most common causes of human life loss and material damage as a result of the manifestation of natural hazards around human communities. Climatic changes have directly impacted the temporal distribution of previously known flood events, inducing significantly increased frequency rates as well as manifestation intensities. Understanding the occurrence and manifestation behavior of flood risk as well as identifying the most common time intervals during which there is a greater probability of flood occurrence should be a subject of social priority, given the potential casualties and damage involved. However, considering the numerous flood analysis models that have been currently developed, this phenomenon has not yet been fully comprehended due to the numerous technical challenges that have arisen. These challenges can range from lack of measured field data to difficulties in integrating spatial layers of different scales as well as other potential digital restrictions.The aim of the current book is to promote publications that address flood analysis and apply some of the most novel inundation prediction models, as well as various hydrological risk simulations related to floods, that will enhance the current state of knowledge in the field as well as lead toward a better understanding of flood risk modeling. Furthermore, in the current book, the temporal aspect of flood propagation, including alert times, warning systems, flood time distribution cartographic material, and the numerous parameters involved in flood risk modeling, are discussed.

Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- flood maps --- flood risk management --- HAND model --- WebAssembly --- flood risk mapping --- web systems --- floods --- urban flooding --- flood analysis --- design floods --- HEC-HMS --- HEC-RAS --- dam break --- unsteady --- flood mapping --- Kesem --- flood risk --- poorly gauged watersheds --- regional flood frequency --- flood modeling --- GPU-parallel numerical scheme --- bridges --- story maps --- disaster risk reduction --- slide --- GARI tool --- risk communication --- climate change --- flood early warning --- forecasting --- hydrological extremes --- machine learning --- Andes --- Nilwala river basin --- coupled flood modelling --- iRIC

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This book provides a first synthetic view of an emerging area of ecology and biogeography, linking individual- and population-level processes to geographic distributions and biodiversity patterns. Problems in evolutionary ecology, macroecology, and biogeography are illuminated by this integrative view. The book focuses on correlative approaches known as ecological niche modeling, species distribution modeling, or habitat suitability modeling, which use associations between known occurrences of species and environmental variables to identify environmental conditions under which populations can be maintained. The spatial distribution of environments suitable for the species can then be estimated: a potential distribution for the species. This approach has broad applicability to ecology, evolution, biogeography, and conservation biology, as well as to understanding the geographic potential of invasive species and infectious diseases, and the biological implications of climate change. The authors lay out conceptual foundations and general principles for understanding and interpreting species distributions with respect to geography and environment. Focus is on development of niche models. While serving as a guide for students and researchers, the book also provides a theoretical framework to support future progress in the field.

Niche (Ecology). --- Niche (Ecology) --- Biogeography. --- Biogeography --- Mathematical models. --- Niche écologique --- Biogéographie --- Modèles mathématiques --- Microhabitat --- Biotic communities --- Competition (Biology) --- Ecology --- Habitat (Ecology) --- Areography (Biology) --- Geographical distribution of animals and plants --- Species --- Species distribution --- Biology --- Geography --- Geographical distribution --- Mathematical models --- BAM diagram. --- Eltonian Noise Hypothesis. --- Eltonian niche. --- Grinnellian niche. --- absence data. --- algorithm. --- ancillary data. --- biodiversity. --- biogeography. --- biotic interactions. --- biotically reduced niche. --- climate change. --- commission error. --- conservation biology. --- conservation planning. --- conservation reserve network planning. --- data preparation. --- data quality. --- disease distribution. --- disease ecology. --- disease transmission risk. --- disease transmission. --- distributional area. --- distributional ecology. --- diversification. --- ecological niche evolution. --- ecological niche modeling. --- ecological niche. --- ecology. --- environmental data. --- environmental space. --- epidemiology. --- evolutionary ecology. --- extinction risk. --- extrapolation. --- feedback loop. --- geographic distribution. --- geographic space. --- geography. --- habitat suitability modeling. --- hypervolume. --- infection. --- invasive species. --- macroecology. --- model calibration. --- model evaluation. --- model performance. --- model prediction. --- model projection. --- model significance. --- model. --- niche concept. --- niche conservatism. --- niche evolution. --- niche models. --- niche. --- nonequilibrium distribution. --- nonnative species. --- occupied distributional area. --- overfitting. --- pathogens. --- population biology. --- populations. --- potential distributional area. --- predictability. --- primary occurrence data. --- resolution. --- risk mapping. --- sampling bias. --- scenopoetic variables. --- sensitivity. --- sisterгpecies pairs. --- spatial extent. --- species distribution modeling. --- species distribution. --- species invasions. --- species limit. --- species occurrence. --- species reintroduction. --- statistical theory. --- transferability. --- unknown species.