β Scribed by Donald P. Albert
No coin nor oath required. For personal study only.
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, medical entomology and much more. Professionals from many other fields will also find new applications for these powerful combined-technologies. This book in the Health Sciences is a springboard to extend existing uses - or create new ones - by highlighting practical applications without bogging you down in detailed technical data requirements and manipulations, software and hardware specifications, or the mathematics of geotechniques. It will help you understand the feasibility of developing the GIS/RS capabilities of your organisation.
ΠΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΠ΅ Π΄ΠΈΡΡΠΈΠΏΠ»ΠΈΠ½Ρ;ΠΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π² ΠΌΠ΅Π΄ΠΈΡΠΈΠ½Π΅;
π SIMILAR VOLUMES
This new book explores the rapidly expanding applications of spatial analysis, GIS and remote sensing in the health sciences, and medical geography.
Two recurring themes in GIS are the potential that GIS technology has for easily accessible and sophisticated analysis of spatially referenced data; and the limited functionality of standard analysis options and their inadequacy for research needs. "Spatial Analysis in GIS" showcases state-of-the-ar
<p>The huge growth in the use of geographic information systems, remote sensing platforms and spatial databases have made accurate spatial data more available for ecological and environmental models. Unfortunately, there has been too little analysis of the appropriate use of this data and the role o
<p>This book will be useful both to those new to spatial uncertainty assessment and to experienced practitioners.</p>
High spatial remote sensing data have been often used as valuable sources of information throughout emergency management cycle. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the earthquake's damage of roads and buildings and make emerg
<p>In recent years, the conservation of tropical forests has received worldwide publicity whereas effective forest management, particularly for timber extraction, has attracted little attention and gained some notoriety. The overall aim of the present paper was to examine how environmental micro-var