Pouria Amirian – författare
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2 produkter
2 produkter
245 kr
Skickas inom 5-8 vardagar
Get the very most out of the ArcGIS for Desktop products through ArcObjects and .NETArcGIS for Desktop is a powerful suite of software tools for creating and using maps, compiling, analyzing and sharing geographic information, using maps and geographic information in applications, and managing geographic databases. But getting the hang of ArcGIS for Desktop can be a bit tricky, even for experienced programmers. Core components of ArcGIS platform is called ArcObjects. This book first introduce you the whole ArcGIS platform and the opportunities for development using various programming languages. Then it focuses on ArcGIS for Desktop applications and makes you familiar with ArcObjects from .NET point of view. Whether you are an ArcGIS user with no background in programming or a programmer without experience with the ArcGIS platform, this book arms you with everything you need to get going with ArcGIS for Desktop development using .NET?right away. Written by a leading expert in geospatial information system design and development, it provides concise, step-by-step guidance, illustrated with best-practices examples, along with plenty of ready-to-use source code. In no time you?ll progress from .NET programming basics to understanding the full suite of ArcGIS tools and artefacts to customising and building your own commands, tools and extensions?all the way through application deployment.Among other things, you?ll learn to: Object-Oriented and Interface-based programming in .NET (C# and VB.NET)Finding relationship between classes and interfaces using object model diagramsQuerying dataVisualizing geographical data using various renderingCreating various kinds of Desktop Add-InsPerforming foreground and background geoprocessingLearn how to improve your productivity with ArcGIS for Desktop and Beginning ArcGIS for Desktop Development Using .NET
612 kr
Skickas inom 10-15 vardagar
This book reviews a number of issues including: Why data generated from POC machines are considered as Big Data. What are the challenges in storing, managing, extracting knowledge from data from POC devices? Why is it inefficient to use traditional data analysis with big data?What are the solutions for the mentioned issues and challenges? What type of analytics skills are required in health care? What big data technologies and tools can be used efficiently with data generated from POC devices? This book shows how it is feasible to store vast numbers of anonymous data and ask highly specific questions that can be performed in real-time to give precise and meaningful evidence to guide public health policy.