ISBN: 9781589485877 - gis for science: applying mapping and spatial analytics, volume 2 (11 resultados)

Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

paperback. Condición: Fine. Essentially like new-never read, pages perfect and unmarked. Just light shelf/handling wear: faint rubbing to edges and minor corner tips gently bumped. No creases, stains, or writing. Outstanding value for a fresh copy.

Condición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

paperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Condición: As New. Unread copy in mint condition.

Condición: New. Brand New.

Paperback. Condición: New. Merging the rigor of the scientific method with the technologies of GISGIS for Science, Volume 2: Applying Mapping and Spatial Analytics brings to life a continuing collection of current, real-world examples of scientists using geographic information systems (GIS) and spatial data science to expand our understand of the world. Co-edited by Esri Chief Scientist Dawn Wright and Esri Technology Writer and Information Designer Christian Harder and with a foreword by Pulitzer Prize winner Jared Diamond, these case studies are part of a global effort to find ways to sustain a livable environment for all life on this planet. The contributors of GIS for Science, Volume 2: Applying Mapping and Spatial Analytics represent a cross section of scientists who employ data gathered from satellites, aircraft, ships, drones, and myriad other remote-sensing and on-site technologies. This collected data is brought to life with GIS and the broader realm of spatial data science to study a range of issues relevant to our understanding of planet Earth-including epidemiology in light of the COVID-19 pandemic; sustainable precision agriculture; predicting geological processes below the surface of the earth; leveraging GIS near-realtime disaster response, recovery, resilience and reporting; the latest innovations in monitoring air quality; and more. Their stories also show in very practical terms how ArcGIS software and the ArcGIS Online cloud-based system work as a comprehensive geospatial platform to support research, collaboration, spatial analysis, and science communication across many settings and communities. A rich supplementary web site-gisforscience.com-includes actual data along with additional maps, videos, web apps, story maps, workflows and snippets of computer code, including Python notebooks, for readers curious to learn more.Written for professional scientists, the swelling ranks of citizen scientists, and anyone interested in science and geography, GIS for Science, Volume 2: Applying Mapping and Spatial Analytics offers wonderful examples of our impulse to dream, discover, and understand, as coupled with the rigor and discipline of the scientific method and the foundation of geography. See how scientists from a variety of disciplines are solving some of the world's most pressing problems using geographic information systems-GIS.…

Paperback. Condición: Brand New. 250 pages. 10.00x11.00x0.75 inches. In Stock.

Paperback. Condición: New. Merging the rigor of the scientific method with the technologies of GISGIS for Science, Volume 2: Applying Mapping and Spatial Analytics brings to life a continuing collection of current, real-world examples of scientists using geographic information systems (GIS) and spatial data science to expand our understand of the world. Co-edited by Esri Chief Scientist Dawn Wright and Esri Technology Writer and Information Designer Christian Harder and with a foreword by Pulitzer Prize winner Jared Diamond, these case studies are part of a global effort to find ways to sustain a livable environment for all life on this planet. The contributors of GIS for Science, Volume 2: Applying Mapping and Spatial Analytics represent a cross section of scientists who employ data gathered from satellites, aircraft, ships, drones, and myriad other remote-sensing and on-site technologies. This collected data is brought to life with GIS and the broader realm of spatial data science to study a range of issues relevant to our understanding of planet Earth-including epidemiology in light of the COVID-19 pandemic; sustainable precision agriculture; predicting geological processes below the surface of the earth; leveraging GIS near-realtime disaster response, recovery, resilience and reporting; the latest innovations in monitoring air quality; and more. Their stories also show in very practical terms how ArcGIS software and the ArcGIS Online cloud-based system work as a comprehensive geospatial platform to support research, collaboration, spatial analysis, and science communication across many settings and communities. A rich supplementary web site-gisforscience.com-includes actual data along with additional maps, videos, web apps, story maps, workflows and snippets of computer code, including Python notebooks, for readers curious to learn more.Written for professional scientists, the swelling ranks of citizen scientists, and anyone interested in science and geography, GIS for Science, Volume 2: Applying Mapping and Spatial Analytics offers wonderful examples of our impulse to dream, discover, and understand, as coupled with the rigor and discipline of the scientific method and the foundation of geography. See how scientists from a variety of disciplines are solving some of the world's most pressing problems using geographic information systems-GIS.…