What other data besides SHP data

File format Introduction

I was born in Dixin , I have been in contact with... Since my freshman year arcgis, now 7 Over the year . I like arcgis The power of , But I like it better QGIS Openness . Everyone has different software usage habits , It seems to me that QGIS Than arcgis Well done ,gson Than shp To use .

Although there are currently more than 80 Vector data format , But considering the openness of data format , At present, there are only a few challenges SHP Industry hegemony . They are ：

• OGC GeoPackage

GeoPackage It's kind of open 、 Platform independent 、 Portable format , It can be used to transmit geospatial information . Exists as a single file , Support vector and grid formats .

• FlatGeobuf

FlatGeobuf It is a binary coded single file that describes spatial geographic information , Systems that are critical to performance , It is suggested that FlatGeobuf As Shapefile succedaneum .

• GeoJSON

GeoJSON It is suitable for processing complex vector data and constructing complex hierarchical data model , This data is easy to parse , And supports streaming （ No need to wait for the entire file to load ）.

• OGC GML

GML Was chosen as Europe INSPIRE The main vector data formats of the initiative , But its standards are complex , Very little software supports the entire standard .

• SpatiaLite

SpatiaLite It's an open source library , To expand SQLite Core to support mature Spatial SQL function , The entire database only corresponds to a single overall file （ No size limit ）.SpatiaLite And GeoPackage Are built on the underlying technology SQLite above .

• OGC KML

KML Is based on XML Of , Inefficient for storing large data sets , In addition, this format only supports WGS-84 Coordinate system .

Document comparison

（1） Maximum value of file （G）

（2） Reading the metadata of a file takes time （ second ）

（3） adopt FID Querying data takes time （ second ）

（4） It takes time to read the same data in different formats （ second ）

（5） It takes time to set conditions to filter out regions of interest （ second ）

Sum up ,shp File processing is inefficient . in addition , The most inconvenient thing for users is Number of documents .

ESRI The company relies on its own market advantages ,SHP Format dominance GIS market . Decades passed , Technology is improving , Standing on the shoulders of giants , Maybe we can use better data formats or create better geographic data formats .

When looking for information , I found the Shapefile Must Die Website GitHub Warehouse , Interested colleagues can study .

Reference resources ：

GitHub.https://github.com/opengeolabs/shapefilemustdie

Switch from Shapefile.http://switchfromshapefile.org/