Data Science: Foundations and Hands-on Experience

Handling Economic, Spatial, and Multidimensional Data with R

Inbunden, Engelska, 2025

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Beskrivning

Spatial data analysis stands out as one of the most unique in this book because it focuses on spatial data, a topic rarely covered in data science references. Nowadays, most data includes location information, which can greatly enhance data science and decision-making.

Produktinformation

Utgivningsdatum:2025-06-19
Mått:155 x 235 x 28 mm
Vikt:887 g
Format:Inbunden
Språk:Engelska
Antal sidor:417
Förlag:Springer Nature Switzerland AG
ISBN:9789819646821

Utforska kategorier

Offentliga sektorn inom Ekonomi och Ledarskap
Databaser inom Data och IT

Mer om författaren

Dr. Fatwa Ramdani is currently a Professor at the University of Tsukuba, Japan, within the Graduate School of Humanities and Social Sciences. A graduate of Tohoku University, Japan, his research expertise lies in Geoinformatics, combining geography with information science and technology to analyze spatial phenomena and geospatial datasets. His work provides unique insights into changes in the human-physical environment, addressing fundamental challenges in physical, environmental, and social sciences. Before joining the University of Tsukuba, Dr. Ramdani was a lecturer in the Information Systems Department at Brawijaya University, Indonesia, where he also served as the Director of the Geoinformatics Research Group. Dr. Ramdani has authored several books, including "Exploring the Earth with QGIS: A Guide to Using Satellite Imagery at Its Full Potential," published by SpringerNature. He has also published numerous peer-reviewed articles in conferences and journals, contributing significantly to the field of environmental impact assessment and geospatial data analysis. He is affiliated with esteemed organizations such as the IEEE Geoscience and Remote Sensing Society (IGARSS), the Japan Society of Photogrammetry and Remote Sensing (JSPRS), the Remote Sensing Society of Japan (RSSJ), Japan Geographic Information System Association (GISA) and the European Geosciences Union (EGU). Dr. Ramdani actively serves as an editor and reviewer for various journals, including "Nature", "Climatic Change", "Remote Sensing," "Applied Sciences," "AgriEngineering", and "Network: Computation in Neural Systems." In addition to his research, Dr. Ramdani teaches courses such as "Data Science for Social Sciences" and "Introduction to Geographic Information Systems" at the University of Tsukuba. His dedication to advancing geospatial science and technology continues to contribute to understanding and addressing environmental and societal challenges.

Innehållsförteckning

Introduction to Data Science & Process of Data Science.- Data Types & Measurement Scale.- Data Exploration, Preprocessing, & Modeling.- Statistics - Descriptive & Inferential.- Data Visualization & Uncertainty.- Machine Learning, Measuring Uncertainty, and Forecasting.- Working with Spatial Data.- Web Scraping & Data Mining.- Natural Language Processing & Sentiment Analysis.- Ethics & Reproducibility.