Algorithm 1.

SparkGIS Load And Prepare Data

1:	procedure AsyncPrepareData(dataset)
2:	binData = inputSrc.getDataAsBinaryRDD(dataset)
3:	Initialize List mbbs
4:	Initialize dataConfig.space
5:	for each spatialObject in binData do
6:	mbb = extractMBB(spatialObject)
7:	/* compute space dimensions and properties */
8:	dataConfig.space.append(mbb)
9:	mbbs.add(mbb)
10:	end for
11:	dataConfig.localIndex = mbbs.createLocalIndex ()
12:	/* estimates parameters for load balancing */
13:	dataConfig.estimateParams ()
14:	return dataConfig
15:	end procedure
16:	procedure Load(datasets, partitionMethod)
17:	/* parallel for loop */
18:	Initialize List configs
19:	for each dataset in datasets do
20:	configs.add(AsyncPrepareData(dataset))
21:	end for
22:	Partition dataspace in tiles using partitionMethod
23:	Build global index
24:	Use global index to map spatial objects to tiles
25:	end procedure