1. Using Spatial Index

With the development of GIS, the amount of GIS data increases gradually, which makes the access speed of Spatial Data reduce. Spatial Index is a data structure used to improve the Spatial Query and access efficiency of data.

Spatial Index in GIS is relative to Field Index. The traditional Field Index can not meet the needs of rapid positioning of Spatial Data because of the unique location correlation of Spatial Data, so it is necessary for Spatial Index to provide rapid access to location-related data.

For operations related to using the Spatial Index, see Manage Spatial Index.

2. Use data compression Encode Type

Data encoding is the way data is stored in a computer. It is usually used to reduce the storage space occupied by data and improve the security of data, or as a format for data exchange. GIS data can be divided into two types: coded and non-coded. The main purpose of using coding is to reduce the storage of massive data with a certain compression method, greatly improve the efficiency of disk reading and writing and network transmission, and significantly improve performance.

For the compression Encode Type of Dataset storage, see the Dataset Compression Encode Type.