Modelling machine learning methods

Taschenbuch. Zustand: Neu. Neuware - In an era where geo-located point data has become the backbone of socio-economic, environmental, and urban research, understanding spatial density is crucial. Yet the tools for analysing this data have remained scattered and incomplete. Modelling Spatial Density fills a significant gap by providing a comprehensive, practical, and user-friendly guide to modelling spatial density using cutting-edge quantitative methods. Bridging the worlds of spatial statistics, spatial econometrics, and spatial machine learning, Kopczewska introduces a range of established and novel techniques, made accessible through intuitive explanations, open data, and reproducible R code. Lesser and well-known methods are elegantly combined and discussed in non-mathematical language that is accessible to social scientists. The book makes a significant contribution to the synthesis, development, and application of spatial quantitative methods for spatial density in the social and environmental sciences. Writing for researchers, policymakers, and analysts, the author demystifies complex methods, making them accessible to non-mathematicians while maintaining the rigour expected by specialists. With a focus on practical applications, empirical examples, and actionable insights, this resource empowers readers to turn data into evidence for decision-making. Whether you are exploring urban dynamics, environmental challenges, or socio-economic phenomena, this book provides the essential tools for spatial analysis, bringing clarity and precision to your research.…

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Modelling And Machine Learning Methods For Bioinformatics And Data Science Applications

Modelling and Machine Learning Methods for Bioinformatics and Data Science Applications (Hardback or Cased Book)

Modelling and Machine Learning Methods for Bioinformatics and Data Science Applications

Modelling And Machine Learning Methods For Bioinformatics And Data Science Applications

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Modelling And Machine Learning Methods For Bioinformatics And Data Science Applications

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Modelling Spatial Density: Data, Methods, and R Applications in Statistics, Econometrics, and Machine Learning (eng)

Modelling Spatial Density : Data, Methods and R Applications in Statistics, Econometrics and Machine Learning

Modelling Spatial Density : Data, Methods and R Applications in Statistics, Econometrics and Machine Learning

Modelling Spatial Density: Data, Methods and R Applications in Statistics, Econometrics and Machine Learning

Modelling Spatial Density: Data, Methods, and R Applications in Statistics, Econometrics, and Machine Learning

Modelling Spatial Density: Data, Methods, and R Applications in Statistics, Econometrics, and Machine Learning

Modelling Spatial Density : Data, Methods and R Applications in Statistics, Econometrics and Machine Learning

Modelling Spatial Density: Data, Methods, and R Applications in Statistics, Econometrics, and Machine Learning

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Modelling Spatial Density: Data, Methods, and R Applications in Statistics, Econometrics, and Machine Learning

Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods

Modelling Spatial Density: Data, Methods, and R Applications in Statistics, Econometrics, and Machine Learning

Handbook of Computational Social Science : Data Science, Statistical Modelling, and Machine Learning Methods

Handbook of Computational Social Science : Data Science, Statistical Modelling, and Machine Learning Methods

Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods (European Association of Methodology Series) 1st Edition

Modelling Spatial Density: Data, Methods and R Applications in Statistics, Econometrics and Machine Learning

Modelling Spatial Density : Data, Methods, and R Applications in Statistics, Econometrics, and Machine Learning