“Fiber Inventory for Biomass Utilization” – a project from CBRDI Columbia Basin Rural Development Institute partnered with the SGRC Selkirk Geospatial Research Centre – in this phase accessing wood-waste volume calculations with UAV! Continue reading Wood-Waste Volume Calculation with UAVs – CBRDI CoOp with SGRC Support
GEOGRAPHY AS THE BASIS OF GIS
In the rush to create bigger and better technical solutions, many in the GIS industry tend to forget that the discipline known as “geography” is the basis of GIS. GIS provides nothing more than the opportunity to manipulate and analyse geographical phenomena using automated systems. In fact, Michael Goodchild, director of the US National Center for Geographic Information Analysis (NCGIA) quite “recently” suggested (Goodchild 1992) that the acronym GIS should be understood to stand for “geographic information science”. This new definition would place more emphasis on analysis of “geographic information” and less on “system”.
Over the past few years there has been a remarkable increase in interest is GIS. Many of the earliest users were in universities, government departments and environmental agencies. Activity in these traditional core areas is now being supplemented by vigorous growth in several emerging markets, the most important one being business and service planning. For many of these new users, the GIS focus to date has been basic mapping and asset management. Other, more advanced, users are modelling data held in integrated databases. This modelling activity is frequently referred to as spatial analysis.
WHAT IS SPATIAL ANALYSIS?
“Spatial analysis” is one of those terms that are so widely used in so many different contexts that it is difficult to define succinctly. Good child (1988, p; 68) offers a good general definition of spatial analysis as “that set of analytical methods which require access both to the attributes of the objects under study and to their locational information”. Openshaw (1991b, p. 18) suggests that what geographers refer to as “spatial statistics”. Anselin (1989) and Goodchild et. Al (1992) prefer to use the term “spatial data analysis” although there seems to be no substantial difference. Continue reading Implementing Spatial Analysis and GIS Applications for Business and Service Planning