GIS will remain a hot topic (in fact, it should be WebGIS), and it is a battle in China

Source: Internet
Author: User

This short article is a self-written post on shuimu. Author: iihero

GIS, as an application software, is indeed fighting for a sigh of relief. Databases and other basic software, compared with GIS, are greatly outdated in China.


The speed, which is currently the fastest, may be in the middle of China (that is, the MAPGIS of the University of Geosciences), and may be surpassed by other products now. Speed,
It usually refers to the analysis speed (spatial analysis operation) of geographic data (or spatial data), which is mostly CPU intensive and
It is also I/O-intensive, which consumes both CPU and may read and write a large amount of space data from the memory or disk.

GIS has several core things. One is the spatial analysis mentioned above. Some people say it is the soul of GIS. For example,
Query the cities with an average annual income of more than 100 million kilometers along the route of Beijing 9 contains basic relationship queries (income data
, City data), including the buffer analysis, to find all the city information in the buffer geographic area along the 100 km
. This is just a common query.

Others include Shortest Path query (deep experience with go2map), accessibility query, overlay, and space calculation (distance
, Area), accumulation statistics and so on.

The other is the storage of geographic (spatial) data, most of which are called spatial databases. Many people have heard of Oracle Spatial,
It has invested a lot of effort in this area. At present, it should be no. 1. ArcGIS was the first to cooperate with Oracle and
Should be expanded. From a practical perspective, whoever holds the initiative in storage can gain a dominant position in the market.
The most troublesome thing about spatial databases is spatial indexes, which are different from ordinary B-tree indexes. They are multi-dimensional data and use a quad-tree.
Or modify the r tree to organize the index structure. There are several classic papers.

Currently, after expansion, many systems directly query the space analysis space at the database level. Currently,
Sqlserver2008 supports space data management. Sybase ASE has a third-party called SQS (spatial
Query server ). DB2 has a spatial extender.
In open source, MySQL is too simple to do. PostgreSQL has a postgis module that supports a good job.

GIS is made in China, but it is actually quite good. The domestic market share has almost exceeded ArcGIS.
Supermap, MAPGIS, and lingtu
To be honest, in the industrial application software of GIS, domestic production is a sigh of relief. There are also some achievements in the Institute
Result. Do not list them one by one.

GIS is often suitable for the development and growth of large countries. The larger the land, the richer the data available. Data is money.
In contrast, basic software is greatly outdated.

When can I add an Oscar to Golden warehouse, DM, and openbase, with a share of up to 20% in China? It is estimated that they will be better.
Currently, we are optimistic about the first two. However, Chinese products are too small to be publicized or offered free trial. There is no good user base. The best way is to give a large number of students a trial.

DM database, as described in this document, supports storage of spatial data.

It's a bit messy.
 

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