Er Mapper Grid Format
- Er Mapper Grid Format Pdf
- Grid Mapper Software
- Grid Square Mapper
- Grid Mapper Ham
- Er Mapper Grid Format Example
ECW (Enhanced Commission Wavelet) is a compressed image format typically for aerial and satellite imagery. This GIS file type is known for its high-compression ratios while still maintaining quality contrast in images. ECW format was developed by ER Mapper, but it’s now owned by Hexagon Geospatial. ArcGIS Data Interoperability provides direct data access, transformation & export capabilities to enable ArcGIS users to integrate, use and distribute data in many formats. View supported formats.
Pick your GIS format poison
Because an unknown GIS file format can be any GIS analysts worst nightmare…
We’ve got you covered with our comprehensive list of GIS formats.
Some geospatial data formats are common. But some are not so common.
First, take a look at these 63 formats in GIS. Then, bookmark it for future reference:
Updated: March 16, 2019
Vector GIS File Formats:
Vector data is not made up of grids of pixels. Instead, vector graphics are comprised of vertices and paths.
The three basic symbol types for vector data are points, lines and polygons (areas). These GIS file formats house vector data.
READ MORE: GIS Spatial Data Types: Vector vs Raster
Extension | File Type | Description |
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Esri Shapefile | .SHP, .DBF, .SHX | The shapefile is BY FAR the most common geospatial file type you’ll encounter. All commercial and open source accept shapefile as a GIS format. It’s so ubiquitous that it’s become the industry standard. But you’ll need a complete set of three files that are mandatory to make up a shapefile. The three required files are:
You can optionally include these files but are not completely necessary.
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Geographic JavaScript Object Notation (GeoJSON) | .GEOJSON .JSON | The GeoJSON format is mostly for web-based mapping. GeoJSON stores coordinates as text in JavaScript Object Notation (JSON) form. This includes vector points, lines and polygons as well as tabular information. GeoJSON store objects within curly braces {} and in general have less markup overhead (compared to GML). GeoJSON has straightforward syntax that you can modify in any text editor. Webmaps browsers understand JavaScript so by default GeoJSON is a common web format. But JavaScript only understands binary objects. Fortunately, JavaScript can convert JSON to binary. |
Geography Markup Language (GML) | .GML | GML allows for the use of geographic coordinates extension of XML. And eXtensible Markup Language (XML) is both human-readable and machine-readable. GML stores geographic entities (features) in the form of text. Similar to GeoJSON, GML can be updated in any text editor. Each feature has a list of properties, geometry (points, lines, curves, surfaces and polygons) and spatial reference system. There is generally more overhead when compare GML with GeoJSON. This is because GML results in more data for the same amount of information. |
Google Keyhole Markup Language (KML/KMZ) | .KML .KMZ | KML stands for Keyhole Markup Language. This GIS format is XML-based and is primarily used for Google Earth. KML was developed by Keyhole Inc which was later acquired by Google. KMZ (KML-Zipped) replaced KML as being the default Google Earth geospatial format because it is a compressed version of the file. KML/KMZ became an international standard of the Open Geospatial Consortium in 2008. The longitude, latitude components (decimal degrees) are as defined by the World Geodetic System of 1984 (WGS84). The vertical component (altitude) is measured in meters from the WGS84 EGM96 Geoid vertical datum. |
GPS eXchange Format (GPX) | .GPX | GPS Exchange format is an XML schema that describes waypoints, tracks and routes captured from a GPS receiver. Because GPX is an exchange format, you can openly transfer GPS data from one program to another based on its description properties. The minimum requirement for GPX are latitude and longitude coordinates. In addition, GPX files optionally stores location properties including time, elevation and geoid height as tags. |
IDRISI Vector | .VCT .VDC | IDRISI vector data files have a VCT extension along with an associated vector documentation file with a VDC extension. VCT format are limited to points, lines, polygons, text and photos. Upon the creation of an IDRISI vector file, it automatically creates a documentation file for building metadata. Attributes are stored directly in the vector files. But you can optionally use independent data tables and value files. |
MapInfo TAB | .TAB .DAT .ID .MAP .IND | MapInfo TAB files are a proprietary format for Pitney Bowes MapInfo software. Similar to shapefiles, they require a set of files to represent geographic information and attributes.
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OpenStreetMap OSM XML | .OSM | OSM files are the native file for OpenStreetMap which had become the largest crowdsourcing GIS data project in the world. These files are a collection of vector features from crowd-sourced contributions from the open community. The GIS format OSM is OpenStreetMap’s XML-based file format. The more efficient, smaller PBF Format (“Protocolbuffer Binary Format”) is an alternative to the XML-based format. The data interoperability in QGIS can load native OSM files. The OpenStreetMap plugin can convert PBF to OSM, which then can be used in QGIS. |
Digital Line Graph (DLG) | .DLG | Digital Line Graph (DLG) files are vector in nature that were generated on traditional paper topographic maps. For example, this includes township & ranges, contour lines, rivers, lakes, roads, railroads and towns. Much of the U.S. Bureau of Census Topologically Integrated Geographic Encoding and Referencing (TIGER) data were generated using the standard DLG format. |
Geographic Base File-Dual Independent Mask Encoding (GBF-DIME) | The GPF-DIME file format was developed by the US Census Bureau in the late 1960s as one of the first GIS data formats to exist. It was used to store the US road network for major urban areas, which is a key factor in census information. GPF-DIME supports choropleth mapping and also assisted in removing error for digitizing features. DIME was a key component to the current TIGER (Topologically Integrated Geographic Encoding and Referencing) system, which was produced by the US Census Bureau. | |
ArcInfo Coverage | ArcInfo Coverages are a set of folders containing points, arcs, polygons or annotation. Tics are geographic control points and help define the extent of the coverage. Attributes are stored in the ADF or INFOb tables. Each feature is identified with a unique number. These feature numbers are a way to link attribute data with each spatial feature. Coverages were the standard format during the floppy disk era. But over time, this GIS format has become obsolete and mostly unsupported in GIS software. |
Raster GIS File Formats
Raster data is made up of pixels (also referred to as grid cells). They are usually regularly-spaced and square but they don’t have to be.
Er Mapper Grid Format Pdf
Rasters have pixel that are associated with a value (continuous) or class (discrete).
READ MORE: Raster Resampling for Discrete and Continuous Data
Extension | File Type | Description |
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ERDAS Imagine (IMG) | .IMG | ERDAS Imagine IMG files is a proprietary file format developed by Hexagon Geospatial. IMG files are commonly used for raster data to store single and multiple bands of satellite data. IMG files use a hierarchical format (HFA) that are optional to store basic information about the file. For example, this can include file information, ground control points and sensor type. Each raster layer as part of an IMG file contains information about its data values. For example, this includes projection, statistics, attributes, pyramids and whether or not it’s a continuous or discrete type of raster. |
American Standard Code for Information Interchange ASCII Grid | .ASC | ASCII uses a set of numbers (including floats) between 0 and 255 for information storage and processing. They also contain header information with a set of keywords. In their native form, ASCII text files store GIS data in a delimited format. This could be comma, space or tab-delimited format. Going from non-spatial to spatial data, you can run a conversion process tool like ASCII to raster. |
GeoTIFF | .TIF .TIFF .OVR | The GeoTIFF has become an industry image standard file for GIS and satellite remote sensing applications. GeoTIFFs may be accompanied by other files:
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IDRISI Raster | .RST .RDC | IDRISI assigns RST extensions to all raster layers. They consist of numeric grid cell values as integers, real numbers, bytes and RGB24. The raster documentation file (RDC) is a companion text file for RST files. They assign the number of columns and rows to RST files. Further to this, they record the file type, coordinate system, reference units and positional error. |
Envi RAW Raster | .BIL .BIP .BSQ | Band Interleaved files are a raster storage extension for single/multi-band aerial and satellite imagery.
BIL files consist of a header file (HDR) that describes the number of columns, rows, bands, bit depth and layout in an image. |
PCI Geomatics Database File (PCIDSK) | .PIX | PIX files are raster storage layers developed by PCI Geomatics. It’s a flexible file type that stores all image and auxiliary data called “segments” in a self-contained file. For example, segments can include image channels, training site and histogram information. As a database file, PIX files can hold raster channels with varying bit depths. They can also store projections, attribute information, metadata and imagery/vectors. |
Esri Grid | Grid files are a proprietary format developed by Esri. Grids have no extension and are unique because they can hold attribute data in a raster file. But the catch is that you can only add attributes to integer grids. Attributes are stored in a value attribute tables (VAT) – one record for each unique value in the grid, and the count representing the number of cells. The two types of Esri Grid files are integer and floating point grids. Land cover would be an example of a discrete grid. Each class has a unique integer cell value. Elevation data is an example of a floating point grid. Each cell represents an elevation floating value. |
Compressed Raster File Formats
Lossy GIS compression reduces file size by permanently eliminating certain information, especially redundant information (even though the user may not notice it).
These lossy compression algorithms often result in greater reductions of file size. Here are examples of highly compressed GIS formats.
READ MORE: Lossless Compression vs Lossy Compression
Extension | File Type | Description |
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ER Mapper Enhanced Compression Wavelet | .ECW | ECW is a compressed image format typically for aerial and satellite imagery. This GIS file type is known for its high compression ratios while still maintaining quality contrast in images. ECW format was developed by ER Mapper, but it’s now owned by Hexagon Geospatial. |
Joint Photographic Experts Group JPEG2000 | .JP2 | JPEG 2000 typically have a JP2 file extension. They are a wavelet compression with the latest JPG format giving an option for lossy or lossless compression. JPEG 2000 GIS formats require a world file which gives your raster geolocation. They are an optimal choice for background imagery because of its lossy compression. JPEG 2000 can achieve a compression ratio of 20:1 which is similar to MrSID format. |
LizardTech Multiresolution Seamless Image Database MrSID | .SID .SDW | LizardTech’s proprietary MrSID format is commonly used for orthoimages in need of compression. MrSID images have an extension of SID and are accompanied with a world file with the file extension SDW. MrSIDs have impressive compression ratios. Color images can be compressed at a ratio of over 20:1. LizardTech’s GeoExpress is the software package capable of reading and writing MrSID format. |
Geographic Database File Formats
We store geographic data in various database file format. Databases are a structured set of data/information.
But the key difference is that geographic databases allow the storage of location information.
READ MORE: Spatial Databases – Build Your Spatial Data Empire
Extension | File Type | Description |
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Esri File Geodatabase | .GDB | Esri created the file geodatabase to be a container for storing multiple attribute tables, vector and raster data sets. It’s the successor of the personal geodatabase (MDB) – and Esri recommends file geodatabases over personal geodatabases. File geodatabases offer structural and performance advantages. They have fast performance, versatile relationships, compatible storage for rasters, improved spatial indexes, data compression, customizable configuration and 1 terabyte file size restrictions. Within a geodatabase, geographic datasets are referred to as feature classes. But geodatabases can store more complex data such as networks, raster mosaics and feature data sets. READ MORE:What is a Geodatabase? Personal vs File Geodatabase |
Esri Personal Geodatabase | .MDB | Personal geodatabases use the default Microsoft Access database file extension (MDB). They used to be the most ubiquitous database type for managing geospatial data. Personal geodatabases were advantageous because you could manage multiple attribute tables, vector and raster datasets and create relationship classes. But their biggest drawback was their limited 2GB in storage capacity. Whereas file geodatabases offer 2TB of capacity. In the end, you’d quickly reach storage capacity with personal geodatabases just by adding a couple of raster and vector data sets. |
OGC GeoPackage | .GPKG | GPKG are self-contained serverless SQLite databases that can contain anything from vector, tiles, rasters, layer attributes, and even extensions. Unlike shapefile which have 3 mandatory files, this open standards geospatial container is easy to share because it’s all contained in a single file. |
Mapbox MBTiles | .MBTILES | MBTILES are for storing and packaging sets of raster or vector map tiles in a single file. The file format is based on a SQLite database. The only coordinate system MBTiles support is spherical Mercator. MBTiles file formats are designed for Mapbox and other web/mobiles applications. |
GE Smallworld Version Managed Data Store | .VMDS | Smallworld software is widely used in electrical, telecommunication, gas, water and utilities. It uses the VMDS “Version Managed Data Store” for database storage. VMDS stores multiple types of raster and vector geometries in spatial and topological utility networks. They are also capable of querying and analysis in GE Smallworld. |
SpatiaLite | .SL3, .SQLITE | SpatiaLite uses the SQLite database engine. But SpatiaLite extends SQLite by giving it spatial capabilities. SpatiaLite give similar functionality to geodatabases and are the rough equivalence to PostgreSQL + PostGIS. They are open source and lightweight with the ability to hold spatial and non-spatial files in a single file container. |
Relational Database Management System (RDBMS) Enterprise
Relational Database Management Systems (RDBMS) are commonly used for multi-user editing environments.
They also support versioned editing, backups and recovery of an enterprise database over the same network.
Extension | File Type | Description |
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PostGIS + PostgreSQL | Open source PostGIS adds spatial objects to the cross-platform PostgreSQL database. The three features that PostGIS delivers to PostgreSQL DBMS are spatial types, indexes and functions. With support for different geometry types, the PostGIS spatial database allows querying and managing information about locations and mapping. PostGIS can be leveraged in several GIS software packages including QGIS, GRASS, ArcGIS and MapInfo. | |
ArcSDE Enterprise Geodatabase + (Oracle, Microsoft SQL Server, IBM DB2) | Relational Database Management Systems (RDBMS) and ArcSDE support versioned editing, backups and recovery with multiple users over the same network. DBMS storage models include Oracle, Microsoft SQL Server, IBM DB2/Informix and PostgreSQL. ArcSDE serves data in a centralized way over an entire organization using a relational database management system. End-users can access spatial data in an Esri environment and seamlessly edit and analyze data in an enterprise geodatabase. |
LiDAR File Formats
The growth of Light Detection and Ranging (LiDAR) technology has revolutionized how we view the surface of Earth.
As point cloud data, LiDAR is a dense network of coordinate points with elevation values. These GIS formats require specialized software or extensions to view or edit.
Extension | File Type | Description |
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ASPRS LiDAR Data Exchange Format | .LAS, .LASD, .LAZ | The LAS file format is a binary file format specifically for the interchange between vendors and customers. Overall, LAS files maintain information specific to LIDAR without the loss of information. LAS files are available for public use, unlike ASCII and other proprietary file formats. The dense networks of coordinate point measurements are so large sometimes that they often need to be split to prevent the file size becoming too large. When you compress a LAS file, the file format specifically for this is LAZ. You can save significant storage space using the LAZ file format. Like most file compression, LAZ has no information loss. Lastly, LAS Datasets (LASD) reference a set of LAS files. The purpose of LASD is to be able to examine 3D point cloud properties from the referenced LAS files. Through LAS datasets, you can visualize triangulated surfaces and perform statistical analysis. |
Point Cloud XYZ | .XYZ | XYZ files don’t have specifications for storing point cloud data. The first 3 columns generally represent X, Y and Z coordinates. But there’s no standard specification so it may include RGB, intensity values and other LiDAR values. They are in the ASCII point cloud group of file formats which includes TXT, ASC and PTS. Non-binary files like XYZ are advantageous because they can be opened and edited in a text editor. |
CAD File Formats
CAD (computer assisted drafting) often goes hand-in-hand with Geographic Information System (GIS). GIS imports design models that were likely built in Autodesk or Bentley Systems MicroStation.
Extension | File Type | Description |
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Autodesk Drawing | .DWF, .DWG, .DXF | Autodesk CAD (computer assisted drafting) file formats are designed for 2D and 3D designs. They generally contain elements such as edges, curves, annotation text in layers. DWG/DXF are vector files that use Cartesian coordinates. Every element plots XY points in a grid.
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Bentley Microsystems DGN File Format | .DGN | DGN or “Design” is the native format for Bentley Systems MicroStation. Similar to other CAD design formats, engineers and architects use it for construction design. DGN files consists of layers including annotation, points, polylines, polygons and multipath. They also contain style information (ColorIndex) and a spatial reference system. |
Elevation File Formats
Elevation file formats are specific to digital elevation model products. For example, the USGS DEM and Canadian CDED capture regularly-spaced elevation values in a raster grid.
Extension | File Type | Description |
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USGS DEM, Canadian CDED | .DEM | The DEM format are raster-based ASCII files specifically developed by the USGS to capture digital elevation models. They are widely used in the industry because of the high volume of legacy elevation models produced by the USGS. The DEM format is a single file containing 3 record types.
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Digital Terrain Elevation Data (DTED) | .DT0 .DT1 .DT2 | Digital Terrain Elevation Data (DTED) is a standard format created by the National Geospatial-Intelligence Agency. They are a raster format consisting of terrain elevation values often captured from aircraft radar. User-defined attributes are assigned through TAB files. The 3 levels of resolutions contain various cell-spacing resolution:
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Web File Formats
These web file formats are built specifically to serve and display geographic features over the internet.
Although there are other web-based file formats that stores geographic data (such as GeoJSON), these file formats are unique to web mapping.
Extension | File Type | Description |
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GeoRSS | URL .XML | Websites publish RSS feeds to subscribers, which are provided in a XML file. GeoRSS extends XML feeds to include geographic data. The GeoRSS specification describes how to add spatial geometries like points, lines and polygons to XML feeds. Webfeeds with location have become a tool for disaster notification. For example, the USGS publishes real-time earthquakes through GeoRSS. Now, RSS have locations. |
Web Feature Service (WFS) | URL | Web feature services allows users to share geospatial (or non-spatial) over the internet. Thus, feature services can be consumed through the internet in webmaps, desktop and web applications. Users access web features services by pointing to the REST endpoints or URL.
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Esri ArcGIS Online Web Services | URL | ArcGIS Online is Esri’s cloud-based platform that allows users to publish content online to share collaboratively with other organizations or the general public.
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Multitemporal File Formats
Temporal data has a time component attached to it. A lot of weather data uses temporal GIS data formats because how important time is related to weather.
Grid Mapper Software
Other examples of temporal data are demographic trends, land use patterns and lightning strikes.
Extension | File Type | Description |
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Network Common Data Form (NetCDF) | .NC | NetCDF GIS format is an interface for array-oriented data for storing multi-dimensional variables. An example of a multi-dimension NetCDF could be temperature, precipitation or wind speed over time. It’s commonly used for scientific data involved in the oceanic and atmospheric community as a GIS data storage format. The ArcGIS multidimensional toolbox and the QGIS NetCDF Browser both support NetCDF files. |
Hierarchical Data Format | .HDF | HDF (Hierarchical Data Format) was designed by the National Center for Supercomputing Applications (NCSA) to manage extremely large and complex scientific data. It’s a versatile data model with no limit on the number or size of data objects in the collection. ArcGIS is capable of reading HDF4 and HDF5 data. The free open source GDAL (command-line) tools supports the conversion of HDF files to GeoTIFF. The HDFView program allows users to view HDF files. |
GRIdded Binary or General Regularly-distributed Information in Binary (GRIB) | .GRIB | Similar to NetCDF, GRIB files are commonly used in meteorology to store historical and forecast weather data. It’s a multidimensional file with the advantages of self-description, flexibility and expandability. GRIB is standardized by the World Meteorological Organization’s Commission and in operation since 1985. Currently, there are three versions of GRIB files (GRIB 0, 1 and 2). There are tools to convert GRIB into rasters such as grb2grid and QGIS software. |
GIS Software Project File Formats
GIS project files are used in GIS applications. Generally, they all store layers in a hierarchical manner and then display them in a layout.
They retain symbology, queries, labeling and other properties for building maps.
Extension | File Type | Description |
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Map Exchange Document (MXD) | .MXD | MXD stands for Map eXplorer Document. ArcGIS uses this file format to store map layers in a table of contents. Each layer in a data frame references a data source. Map layers are displayed from the map layout in a hierarchical manner. When reopening a MXD, all symbology and labeling are retained since it was last saved |
QGIS 2.X Project File | .QGS | The QGS extension is a project file for the GIS software program QGIS (formerly Quantum GIS). This file type can be opened similar to .TXT or .XLS file. All the map layers and composers are stored in a QGS project file. It retains the same, labeling and map layers as they were since last saving. Map layers are referenced pointing to the physical data sources. QGIS projects generate a backup of the project file automatically with the file extension QGS~. These files are stored in the same directory as the project file. |
ArcGIS Pro Project File | .APRX | ArcGIS Pro project files (APRX) contain maps, toolboxes, databases, folders and even styles. They can also contain connections to databases, servers and folders. APRX files are the successor to MXDs, which were the equivalent to project files in Esri ArcGIS. But they are different from MXDs in that projects can have multiple maps and layouts in a single project. |
QGIS 3 Project File | .QGZ | QGZ is the default project file for QGIS 3.2 and greater. This zipped container stores the QGS XML file and is used for storing QGIS layouts, properties and layers. |
Map Exchange Document Template (MXT) | .MXT | Map Exchange Document Template (MXT) are standardized layouts for Esri ArcGIS. They contain common basemaps and page layouts to be reused repeatedly in an organization. Your ArcGIS profile uses the normal.mxt. In order to fix map document issues, you can reset your application through the normal.mxt. |
MapInfo Workspace | .WOR .MWS | Map composition files (.MAP) store a set of map layers, symbology and color palettes in a file with a MAP extension. Once you reopen it, MAP files recreate the map layout as needed for printing. |
Esri ArcGlobe Document | .3DD | ArcGlobe is a global 3D visualization and analysis environment focusing on larger study areas. 3DD is the extension for ArcGlobe which houses all your feature and raster layers in a global view. |
Esri ArcScene Document | .SXD | ArcScene is a 3D feature and raster viewer specializing in smaller study area or local scenes. SXD is the extension for ArcScene that saves the scenes view, layers and properties. |
IDRISI Map Composition File | .MAP | Map composition files (.MAP) store a set of map layers, symbology and color palettes in a file with a MAP extension. Once you reopen it, MAP files recreate the map layout as needed for printing. |
Cartographic File Formats
The purpose of cartographic file formats is to standardize map creation with a set of symbols, labels or feature display. Broken pelvis treatment elderly.
Generally, they don’t hold any of the physical data. But they contain the symbology to stylize your map features.
Grid Square Mapper
Extension | File Type | Description |
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Esri ArcGIS Layer File | .LYR .LYRX | Layer files are used for displaying a set of symbology in a map. They don’t contain the geographic data itself. Instead layer files simply specify how the data will be displayed. When you share a vector or raster data set, a layer file ensures the same symbology will be displayed in another map.
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QGIS Layer Definition File | .QLR | Not only do QLR files contain the styling information for a layer, they also point to a referenced layer. QLR files don’t hold any of the physical data because their purpose is for storing symbology and queries. QLR files are XML based so you can freely open and edit them in a text editor. |
Esri ArcGIS Style File | .STYL .STYLX | STYL files are a set of symbols that can be assigned to symbolize features in a map layout. They often carry a list of icons specific to a theme such as forestry, petroleum or geology. Once you add a STYL file to a map document, map features can obtain any unique symbology as part of the style file.
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QGIS Style File | .QML | QGIS layer style files (*.QML) contain the symbology and labelling to style how features are viewed in a QGIS project. You can apply a QML file to any file without needing data. Because QML is in an XML format, you can open and edit it in a text editor. |
3D File Formats
Three-dimensional file formats not only give XY locations of features, but they also add depth to features.
These 3D file formats are graphic representations of objects in the real world developed in 3D modelling software.
Extension | File Type | Description |
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COLLADA | .DAE | COLLADA are 3D object representations stored in a XML file. This reference image file simulates textures in 3D web scenes in Esri and Google Earth. COLLADA is a format that you can transfer from 3D modelling software such as Trimble SketchUp, Autodesk Maya and 3DS Max. |
Trimble Sketchup | .SKP | Sketchup files (SKP) are 3D object representations native to the three-dimensional modelling software Trimble Sketchup. These conceptual design files (buildings, towers, trees, etc) can be placed in Google Earth. |
Interchange File Formats
The purpose of interchange files are to transfer files between different software systems.
Generally, they are non-native formats specifically designed for interoperability and data transfer.
Extension | File Type | Description |
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Esri ArcInfo Export (Interchange) | .E00 .E01 .E02 | Esri ArcInfo Interchange files are no longer supported. This obsolete GIS format was used to conveniently exchange GIS coverage files. It has the extension E00 and increases incrementally (E01, E02…) with individual coverage files. Although convenient for interchange, you need to process the data before you can add it to ArcGIS. In order to convert Esri ArcInfo Interchange files, you can run the ‘Import from E00’ tool in the Conversion ArcToolbox. |
MapInfo Interchange File | .MIF .MID | MIF format are versatile files that allows the exchange of MapInfo files between different geospatial systems. This ASCII file contains two files:
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Map Package | .MPK | Map package (MPK) files are an Esri storage container that contains all the elements and underlying data of a MXD. The purpose of generating MPKs is to not only transfer the layers in a table of contents, but the physical data that is associated to each layer in a data frame. It’s common to exchange map packages to users outside an organization who do not have access to the network data sources. Once the MPK file is transferred, they have access to editing their own source version of data. |
Grid Mapper Ham
Other GIS File Formats
The remaining GIS formats don’t belong in any specific group. They are geographic in nature and perform a specific function related to the analysis, management or display of geographic information.
Extension | File Type | Description |
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Esri ArcGIS Toolbox | .TBX | TBX extensions carry the geoprocessing tools that you can analyze geospatial data in Esri ArcGIS 10.X. When you create a custom toolbox, you can add toolsets and models. For example, you can add Python scripts (.PY) and models from ModelBuider for specific routines and processes. |
ArcSDE Connection File | .SDE | SDE files connect to a SDE geodatabase including the username, password, version and database path. The purpose of ArcSDE connection files are to gain access to an instance of your enterprise geodatabase on a network. You authenticate the database from either operating system or database authentication |
Adobe Geospatial PDF | Geospatial PDFs store points, lines, polygons and raster layers all represented in geographic space. By using this file format, users can measure distance, adjust coordinate systems as well as add edit locations. Geospatial PDFs can retain tabular data associated with each graphic. | |
Apple Venue Format | .AVF | Apple Venue Format (AVF) is the standard format for Apple’s indoor maps. AVF stores GeoJSON files in a dataset folder. Each GeoJSON file represents a feature as part of a data collection. |
How well do you know your GIS formats?
In your GIS career, you’re going to encounter a wide range of GIS formats.
GIS has taken different paths. For example:
From 2D to 3D, three-dimensional file formats add depth. Then from fixed to dynamic time, multi-temporal formats add the element of time.
GIS is truly one if the most diverse and expanding technologies, as shown with the plethora of GIS formats in the industry.
What is the difference between lossy and lossless compression?
We often divide image compression into two categories – lossy and lossless compression.
Lossy compression reduces file size by permanently eliminating certain information. Specifically, it eliminates redundant information, even though the user may not notice it. For example, JPEG is a format that uses lossy compression.
However, lossless compression retains raster values during compression. At the same time, it still ma ages to reduce file size. For example, LZ77 is a lossless compression file type.
Let’s compare both image compression methods and their potential uses in GIS.
When should you use lossy and lossless compression?
Er Mapper Grid Format Example
In GIS, lossy compression data is good for background images because it has faster loading speeds with lower compression ratios. You should not choose lossy compression if you want to perform further analysis on the data.
Lossy compression algorithms often result in greater reductions of file size. It’s often the case that the human eye cannot distinguish between lossless and lossy compression. Lossy image compression offers the best compression ratios with good enough approximations.
READ MORE: Image Compression and Encoding for Raster Data
On the other hand, lossless compression reduces file size but retains redundant information after compression. For example, LZ77 is a type of lossless compression.
Lossless compression is good if there will be new analysis on the data. This is because it doesn’t alter any of the original values. This means that it’s good for discrete data or any raster image that is already lossy compressed.
JPEG Compression Example
JPEG stands for Joint Photographic Experts Group, which is the group that created the standard. It has an extension of .JPG and .JPEG and is the most common image format used by digital cameras and on the World Wide Web.
It’s a lossy compression type for digital images. Lossy image compression reduces file size and eliminates redundant information. The user decides how much loss to introduce with a trade-off in storage size and quality.
For example, the compression quality is a range from 1 to 100. A lower value compresses the raster image, but also reduces the quality.
JPEG 2000 (JP2) is the newest version of JPEG. It slightly improves image compression performance over JPEG using two different wavelet transforms. Users can choose low to high levels of compression.
LZ77 Compression Example
LZ77 compression is a lossless image compression meaning it maintains raster values during compression.
Abraham Lempel and Jacob Ziv introduced this format in 1977 and we still use it today. Combining the first letter from both last names (LZ) and the year it was invented (1977), this is how the acronym (LZ77) was created.
It uses the same commission algorithm as PNG (Portable network graphic). Also, it’s the default raster GIS compression that ArcGIS uses.
The theory behind LZ77 image compression is that repeat values in a raster image are stored according to their position and length. Instead of storing single values for each cell, LZ77 simply stores where the value was found and how long the string of values are.
MrSID vs ECW
JPEG 2000 can achieve a compression ratio of 20:1 which is similar to MrSID and ECW format.
We commonly use LizardTech’s proprietary MrSID (Multiresolution Seamless Image Database) for orthoimages and basemaps. MrSID images have an extension of SID and are accompanied with a world file with the file extension SDW.
MrSIDs have impressive compression ratios. Color images can be compressed at a ratio of over 20:1. LizardTech’s GeoExpress is the software package capable of reading and writing MrSID format.
ECW (Enhanced Commission Wavelet) is a compressed image format typically for aerial and satellite imagery. This GIS file type is known for its high-compression ratios while still maintaining quality contrast in images.
ECW format was developed by ER Mapper, but it’s now owned by Hexagon Geospatial.
READ MORE:The Ultimate List of GIS Formats – Geospatial File Extensions
Conclusion
Lossless compression retains values and manages to lower file size.
However, lossy compression reduces file size by eliminating redundant information.
While LZ77 is an example of a lossless compression, JPEG is an example of a lossy compression.
Depending on your intended uses, you have to choose lossy or lossless compression appropriately.