Download Geographical information systems : trends and technologies by Elaheh Pourabbas PDF

By Elaheh Pourabbas

''Web providers, cloud computing, place established prone, NoSQLdatabases, and Semantic internet provide new methods of having access to, reading, and elaborating geo-spatial details in either real-world and digital areas. This booklet explores the how-to of the main promising recurrent applied sciences and traits in GIS, reminiscent of Semantic GIS, internet GIS, cellular GIS, NoSQL Geographic Databases, Cloud GIS, Spatial info Warehousing-OLAP, and Read more...

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Q0 × C7 +Q1 × C8) mod NUMPARTITIONS, for all the intermediate keys that correspond to partition Q0_Q1{1}. The partition number of the records in Q0_Q1{1} is generated in line 9 while the partition number of the records in Q0_Q1{2} is generated in line 7. We use the numbers 1 and 2 at the end of the window-pair partitions’ names to differentiate between them. We reference this number as the window-pair sequence. After generating the partition numbers of intermediate records, the records are sent to their corresponding reduce nodes.

K2 is the intermediate key of one of the records of the group being processed and v2List is the list of values of all the records of the group. , InMemorySimJoin, to get the links in the current partition (lines 1 to 2). Otherwise all the records of the group are stored in an intermediate directory for further partitioning. If the current group is a base partition, then the Algorithm 5: Reduce_base() Input: (k2, v2List). k2 = (kPart, kWin), v2List = list(id, elem, part) Output: SJ matches or intermediate data.

The proposed algorithm is general enough to be used with any dataset that lies in a metric space. , Euclidean Distance on a plane where a Spherical Earth was projected. • We present guidelines to implement the algorithm in Hadoop, a highly used open-source MapReduced-based system. • We thoroughly evaluate the performance and scalability properties of the implemented operation with synthetic and real-world geographic datasets. We show that MRSimJoin performs significantly better than an adaptation of the state-of-the-art MapReduce Theta-Join algorithm (Okcan and Riedewald 2011).

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