The efficient economic activities incline to be concentrated in space, and therefore there is an increased attention over the forces of spatial economic agglomerations and the role of loca-tion in economic development. This paper proposes some solutions to automate the identifica-tion of spatial agglomerations and their intensities, function on the spatial distribution of items in the geographical areas. The software components developed to accomplish this task are Geographic Information Systems specific tools.Keywords: GIS, Spatial Agglomerations, Raster, Framework, Raster Symbology(ProQuest: ... denotes formulae omitted.)1 IntroductionThere are a lot of scientific papers sup-porting the idea that in the presence of ag-glomeration economies, the potential for growth is increasing in the level of economic activity [1].The huge amount of spatial data generated by GIS (Geographical Information Systems) ex-pansion, the increasing number of geographic informatics applications available, the com-puterization of a large amount of information sources, and the availability of digital map has increased the opportunity and need for the usage of methods and techniques for spa-tial data analysis and integration with eco-nomic data, for both research and applied purposes. [3]This paper proposes a GIS based solution to automate the identification of agglomerations in space, by determining the density of spa-tial elements, function on their physical loca-tions.The proposed solutions suppose to use soft-ware components developed to automate and to reuse the same behavior, for a large set of applications, developed for many domains and economic applications. The software components could be used in scenarios based manner.Scenarios developed in a certain field, can be reused in the same domain, extending or im-proving them, or in other scientific fields, by adapting them to new requirements. The pro-cess of reuse is dependent on the complexity of the information presented, describing the use of functions implemented readiness of users in areas that have been developed for these scenarios. [5]The proposed solutions use raster concept, as support to generate the level of density of spatial distributed economic items, i.e. the density of companies performing in one eco-nomic field, as they are distributed in space and the distribution of communication means like roads, in space, based on their densities.A raster consists of a matrix of cells, each containing a value representing information, such as: temperature or the presence of one economic phenomenon in a specific place.Rasters are digital aerial photographs, image-ry from satellites, digital pictures, or even scanned maps.Data stored in a raster format represents real-world phenomena, like: thematic or discrete data, representing features such as land-use or soils data and continuous data, represent-ing phenomena such as temperature, eleva-tion or spectral data such as satellite images and aerial photographs.Within a GIS, the uses of raster data fall un-der the following main categories:* raster as a basemap by using orthophotographs - it is a background dis-play for other feature layers. This kind of raster is used to display underneath other layers, and provide the map users with the confidence that map layers are spatially aligned and represent real objects, togeth-er with representing of additional infor-mation. There are three main sources of raster basemaps: from aerial photography, satellite imagery, and scanned maps;* raster as a surface map -are well suited rasters for representing data that changes continuously across a surface. They pro-vide an effective method of storing the continuity as a surface. They also provide a regularly spaced representation of sur-faces. Elevation values measured from the earth's surface are the most common ap-plication of surface maps, but other val-ues, such as rainfall, temperature, concen-tration, and population density, can also define surfaces that can be spatially ana-lyzed;* raster as a thematic map - are raster repre-senting thematic data, which can be de-rived from analyzing other data. …