Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses
When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important...
Spatial Analysis, GIS and Remote Sensing: Applications in the Health Sciences This new book explores the rapidly expanding applications of spatial analysis, GIS and remote sensing in the health sciences, and medical geography. For the practitioner or researcher this book is full of useful techniques if your work applies to environmental and public health, biostatistics, epidemiology, health services, medical geography,... Mastering Clojure Data Analysis
Leverage the power and fl exibility of Clojure through this practical guide to data analysis
About This Book
Explore the concept of data analysis using established scientific methods combined with the powerful Clojure language
Master Naive Bayesian Classification, Benford's Law, and...
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