* Written by a member of the original C# language design team and C# Program Manager; contains the expertise that pro C# programmers want.
* Follows the successful first and second editions; one of ...the earliest practical books for developers using C# 2.0.
* Introduces developers to critical new language elements introduced in C# 2.0, including generics, iterators, and partial classes.
* Good introduction to C#.
Distributed Object Architectures with CORBA is a guide to creating a software architecture comprising distributed components. While it is based on OMG's Common Object Request Broker Architecture ...(CORBA) standard, the principles also apply to architecture built with other technology (such as Microsoft's DCOM). As ORB products evolve to incorporate new additions to CORBA, the knowledge and experience required to build stable and scalable systems is not widespread. With this book the reader can develop the skills and knowledge that is necessary for building such systems. The book assumes a familiarity with object-oriented concepts and the basics of CORBA. Software developers who are new to building systems with CORBA-based technologies will find this book a useful guide to effective development.
There has been an increasing demand in GIS for systems that support historical data: time-series data as well as mobility information. From a modelling perspective, there are advantages in ...integrating object-oriented analysis and design to databases as well as to visualisation capabilities of GIS. Object-Oriented Design for Temporal GIS explores the major components of the object-oriented analysis and design methods, how they can be used for modelling spatio-temporal data, and how these components are developed and maintained within a GIS. It also offers practical guidance to object-oriented methods by demonstrating the feasibility of applying such methods to issues involved in handling spatio-temporal data. The author demonstrates how this knowledge might be used in a wide range of applications such as political boundary record maintenance (historical data), disease incidence rate analysis in epidemics (diffusion rate), and environmental studies of climate change (time-series data). This understanding contributes to the development of theory in GIS and improves the design of GIS to support the modelling of semantics, space and time elements of geographical information.
