Spatial Simulation in the context of Geographic Information Systems (GIS) is used primarily to assess the evolution of spatial variables over time. Since the 1990s two main techniques have been applied to perform this sort of spatial analysis: Cellular Automata [1] and Agent-based modelling [2]. The simulation models produced with these methods tend to be quite specific, only usable within the ...

soil salinity is a limiting factor for plant growth and a serious cause of land degradation. field sampling and statistical analysis for estimating soil salinity is expensive and time consuming. estimating soil salinity by spatial statistical models and geographic information system (gis) is recommended, because it saves labor and time. this study was conducted to evaluate the performance of sp...

Centralized data storage and data exchange is a key issue in many interdisciplinary research projects that focus on environmental field studies and regional modelling on various scales. Furthermore, the overall success of such projects depends on a well organized and prepared graphical representation of spatial project data within web mapping applications. In this contribution, we introduce the...

A Geographical Information System (GIS) provides a powerful collection of tools for the management and visualization of spatial data. These tools can be even more powerful when they are integrated with methods for spatial data analysis. In this context, we provide several examples that show the power of exploratory spatial data analysis (ESDA) within a GIS and how this can provide the foundatio...

Map projection on-the-fly capability allows natural resource GIS analysts to geoprocess spatial data layers referenced to different map coordinate systems. This study’s primary objective was to provide examples of spatial measurement differences that can result when point, line, and polygon natural resource spatial databases are referenced to different map coordinate systems and are used for a ...