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Towards Querying And Visualization Of Large Spatio-Temporal Databases, Sugam Sharma
Towards Querying And Visualization Of Large Spatio-Temporal Databases, Sugam Sharma
Sugam Sharma
In any database model, data analysis can be eased by extracting a smaller set of the data of interest, called subset, from the mammoth original dataset. Thus, a subset helps enhance the performance of a system by avoiding the iteration through the huge parental data in further analysis. A subset, its specification, or the formal process for its extraction can be complex. In the database community, subsets are extracted through SQL-like queries and through visualization in the Geographic Information System (GIS) community. Both are iterative processes. An SQL query can be a composition of subqueries. Each subquery can be seen …
Creating A Soil Data Base In A Reconnaissance Soil Fertility Ssstudy Of An Encroached Forest Reserve In Northern Nigeria For A Reforestation Programme, F O. Adekayode, Dr. Dipo Theophilus Akomolafe Mbcs, Mncs, Mcpn,
Creating A Soil Data Base In A Reconnaissance Soil Fertility Ssstudy Of An Encroached Forest Reserve In Northern Nigeria For A Reforestation Programme, F O. Adekayode, Dr. Dipo Theophilus Akomolafe Mbcs, Mncs, Mcpn,
Dr. Dipo Theophilus Akomolafe MBCS, MNCS, MCPN,
The reconnaissance soil fertility study of 10,000 ha partly encroached forest reserve located between latitude 11°47’N and 11°56’N and longitude 4°22’E and 4°32’E in Northern Nigeria was conducted in 2009 to generate a soil fertility data base of the reserve. The tracking of the forest reserve boundary was done using a Garmin 72 model global positioning system (GPS) receiver. The geographic coordinates were input into the computer to generate a digital map of the forest reserve. The entire forest reserve was divided into grids to guide in the location for soil sampling using the GPS/Geographic Information System (GIS) geospatial technique. …