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  1. JPEG with Geotagging

    JPEG with geotagging is a combination of the popular JPEG image format and the addition of geolocation metadata. Geotagging allows users to attach precise location information, such as latitude and longitude coordinates, to JPEG images. This enables enhanced context and organization of photos based on their geographic location. Geotagged JPEG images can be used in various applications, including travel documentation, storytelling, and location-based photo sharing....Converter for Geo coordinates Parse Geo coordinates from a string...

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  2. RAW with geotagging

    RAW files are unprocessed image files that contain raw sensor data captured by a digital camera. These files are known for their high-quality and flexibility in post-processing. When combined with geotagging, RAW files can be enhanced with accurate geolocation metadata, such as latitude and longitude coordinates. Geotagging RAW files provides valuable context and enables photographers to document the exact location where the photo was taken. It enhances organization, storytelling, and makes it easier to search and discover images based on location. Geotagging RAW files is particularly useful for travel photography, outdoor adventures, scientific research, and any projects that require precise location data....Converter for Geo coordinates Parse Geo coordinates from a string...

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  3. KML/KMZ with geotagging

    KML (Keyhole Markup Language) and KMZ (Keyhole Markup Language Zipped) are file formats commonly used for geospatial data and geotagging. They allow users to store and share geographic information, such as coordinates, points of interest, and routes, within the files. Geotagging in KML/KMZ involves adding location metadata to specific elements, enabling precise geospatial referencing and visualization of data on maps and Earth browsers....Converter for Geo coordinates Parse Geo coordinates from a string...

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  4. Extract Images From Website in Python – Aspose....

    Learn how to download images from website. Consider Python examples to automate extracting images from website using Aspose.HTML.... Parse the image URL to obtain the...

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  5. Handling Task Constraints | Aspose.Tasks Docume...

    Learn how to define and manage task constraints in Microsoft Project and programmatically with Aspose.Tasks for .NET. Includes C# code examples for common constraint types....RootTask , collector, 0); 8 9 // Parse through all the collected tasks...

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  6. Handling Task Constraints | Aspose.Tasks Docume...

    Learn how to handle Microsoft Project (MPP/XML) task constraints using Aspose.Tasks for Java....getRootTask (), collector, 0); 8 9 // Parse through all the collected tasks...

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  7. TopoJSON

    TopoJSON is a format for encoding geographic data structures, particularly for large data sets, that uses topology to reduce duplication and increase efficiency. It is similar to GeoJSON but has the advantage of smaller file sizes and faster rendering times....Converter for Geo coordinates Parse Geo coordinates from a string...

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  8. Esri File Geodatabase (GDB)

    Esri File Geodatabase is a file format developed by Esri for storing geospatial data in a file-based system. It allows for efficient storage and retrieval of geospatial data, including vector, raster, and attribute data. The file geodatabase is used by many GIS software applications and can be accessed using the Esri ArcGIS platform. It offers various advantages such as high performance, data integrity, and multi-user editing capabilities....Converter for Geo coordinates Parse Geo coordinates from a string...

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  9. 转换 PUB 文件 | Aspose.PUB for C++

    本文通过伪代码描述并演示了使用 Aspose.PUB for C++ 解决方案转换 Publisher 文件的功能。...cument> document = parser->Parse(); PubFactory::CreatePdfCon...

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  10. Data Visualization API for .NET

    Visualization with .NET...Converter for Geo coordinates Parse Geo coordinates from a string...

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