GDAL 2.1 What's New ?
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Package 'Rgdal'
Package ‘rgdal’ September 16, 2021 Title Bindings for the 'Geospatial' Data Abstraction Library Version 1.5-27 Date 2021-09-16 Depends R (>= 3.5.0), methods, sp (>= 1.1-0) Imports grDevices, graphics, stats, utils LinkingTo sp Suggests knitr, DBI, RSQLite, maptools, mapview, rmarkdown, curl, rgeos NeedsCompilation yes Description Provides bindings to the 'Geospatial' Data Abstraction Li- brary ('GDAL') (>= 1.11.4) and access to projection/transformation opera- tions from the 'PROJ' library. Please note that 'rgdal' will be retired by the end of 2023, plan tran- sition to sf/stars/'terra' functions using 'GDAL' and 'PROJ' at your earliest conve- nience. Use is made of classes defined in the 'sp' package. Raster and vector map data can be im- ported into R, and raster and vector 'sp' objects exported. The 'GDAL' and 'PROJ' libraries are ex- ternal to the package, and, when installing the package from source, must be correctly in- stalled first; it is important that 'GDAL' < 3 be matched with 'PROJ' < 6. From 'rgdal' 1.5-8, in- stalled with to 'GDAL' >=3, 'PROJ' >=6 and 'sp' >= 1.4, coordinate reference sys- tems use 'WKT2_2019' strings, not 'PROJ' strings. 'Windows' and 'macOS' binaries (includ- ing 'GDAL', 'PROJ' and their dependencies) are provided on 'CRAN'. License GPL (>= 2) URL http://rgdal.r-forge.r-project.org, https://gdal.org, https://proj.org, https://r-forge.r-project.org/projects/rgdal/ SystemRequirements PROJ (>= 4.8.0, https://proj.org/download.html) and GDAL (>= 1.11.4, https://gdal.org/download.html), with versions either (A) PROJ < 6 and GDAL < 3 or (B) PROJ >= 6 and GDAL >= 3. -
Comparison of Open Source Virtual Globes
FOSS4G 2010 Comparison of Open Source Virtual Globes Mathias Walker Pirmin Kalberer Sourcepole AG, Bad Ragaz www.sourcepole.ch FOSS4G Barcelona 7.-9.9.10 Comparison of Open Source Virtual Globes About Sourcepole > GIS-Knoppix: first GIS live-CD > QGIS > Core developer > QGIS Mapserver > OGR / GDAL > Interlis driver > schema support for PostGIS driver > Ruby on Rails > MapLayers plugin > Mapfish server plugin FOSS4G Barcelona 7.-9.9.10 Comparison of Open Source Virtual Globes Overview > Multi-platform Open Source Virtual Globes > Installation > out-of-the-box application > Adding user data > Features > Demo movie > Comparison > User data > Technology > Desired Virtual Globe features FOSS4G Barcelona 7.-9.9.10 Comparison of Open Source Virtual Globes Open Source Virtual Globes > NASA World Wind Java SDK > ossimPlanet > gvSIG 3D > osgEarth > Norkart Virtual Globe > Earth3D > Marble > comparison to Google Earth FOSS4G Barcelona 7.-9.9.10 Comparison of Open Source Virtual Globes Test user data > Test data of Austrian skiing region Lech > projection: WGS84 (EPSG:4326) > OpenStreetMap WMS > winter orthophoto > GeoTiff, 20cm resolution, 4.5GB > KML Tile Cache > ski lifts, ski slopes, cable cars and POIs > KML > Shapefile > elevation (ASTER) > GeoTiff, ~30m resolution, 445MB FOSS4G Barcelona 7.-9.9.10 Comparison of Open Source Virtual Globes NASA World Wind Java SDK > created by NASA's Learning Technologies project > now developed by NASA staff and open source community developers FOSS4G Barcelona 7.-9.9.10 Comparison of Open Source Virtual Globes -
Mrsid Software
Mrsid software LizardTech offers a software package called GeoExpress to read and write MrSID files. They also provide a free web browser plug-in Developed by: LizardTech. This driver supports reading of MrSID image files using LizardTech's decoding software development kit (DSDK). This DSDK is not free software, you should. This plug-in (formerly the MrSID Browser Plug-in) is free for individual use and enables Note MrSID Generation 4 files are natively supported in ArcGIS Desktop and Bring the best geospatial software in the industry into the classroom. GeoViewer Pro. Quickly and easily view MrSid imagery and just about everything else. Bring the best geospatial software in the industry into the classroom.GIS Tools · GeoViewer · GeoExpress · About. GHz processor; 4 GB RAM; MB of disk space for installation and additional space for images. Software Requirements GeoViewer requires the following. Both Windows and Mac users can use the command-line tool MrSID GeoDecode to decode MrSID images to TIFF and GeoTIFF .tif), JPEG. Compress massive geospatial images and LiDAR data into high-quality MrSID files. Bring the best geospatial software in the industry into the classroom. The software comes enabled to view MrSID files. For more details, search for the keyword "MrSID" in ArcGIS Help. Other questions may be answered at Esri's. Or visit LizardTech to download the software. Download Note: MrSID images average - kb in size. Download times approximate 2 minutes over a 56Kb. Full name, MrSID Image Format (Multi-resolution Seamless Image LizardTech licensed Generation I of its patented MrSID software from Los. To download and view MrSID files offline you need a special viewer. -
Pyqgis Developer Cookbook Release 2.18
PyQGIS developer cookbook Release 2.18 QGIS Project April 08, 2019 Contents 1 Introduction 1 1.1 Run Python code when QGIS starts.................................1 1.2 Python Console............................................2 1.3 Python Plugins............................................3 1.4 Python Applications.........................................3 2 Loading Projects 7 3 Loading Layers 9 3.1 Vector Layers.............................................9 3.2 Raster Layers............................................. 11 3.3 Map Layer Registry......................................... 11 4 Using Raster Layers 13 4.1 Layer Details............................................. 13 4.2 Renderer............................................... 13 4.3 Refreshing Layers.......................................... 15 4.4 Query Values............................................. 15 5 Using Vector Layers 17 5.1 Retrieving information about attributes............................... 17 5.2 Selecting features........................................... 18 5.3 Iterating over Vector Layer...................................... 18 5.4 Modifying Vector Layers....................................... 20 5.5 Modifying Vector Layers with an Editing Buffer.......................... 22 5.6 Using Spatial Index......................................... 23 5.7 Writing Vector Layers........................................ 23 5.8 Memory Provider........................................... 24 5.9 Appearance (Symbology) of Vector Layers............................. 26 5.10 Further -
US Topo Map Users Guide
US Topo Map Users Guide April 2018. Based on Adobe Reader XI version 11.0.20 (Minor updates and corrections, November 2017.) April 2018 Updates Based on Adobe Reader DC version 2018.009.20050 In 2017, US Topo production systems were redesigned. This system change has few impacts on the design and appearance of US Topo maps, but does affect the geospatial characteristics. The previous version of this Users Guide is frozen in its current form, and applies to US Topo maps created The previous version of this Users Guide, which before approximately June 2017 and to all HTMC applies to US Topo maps created before June maps. The document you are now reading applies 2017 and to all HTMC maps, is linked from to US Topo maps created after June 2017, and https://nationalmap.gov/ustopo will be maintained into the future. US Topo maps are the current generation of USGS topographic maps. The first of these maps were published in 2009. They are modeled on the legacy 7.5-minute series of the mid-20th century, but unlike traditional topographic maps they are mass produced from GIS databases, and are published as PDF documents instead of as paper maps. US Topo maps include base data from The National Map and other sources, including roads, hydrography, contours, boundaries, woodland cover, structures, geographic names, an aerial photo image, Federal land boundaries, and shaded relief. For more information see the project web page at https://nationalmap.gov/ustopo. The Historical Topographic Map Collection (HTMC) includes all editions and all scales of USGS standard topographic quadrangle maps originally published as paper maps in the period 1884-2006. -
Assessmentof Open Source GIS Software for Water Resources
Assessment of Open Source GIS Software for Water Resources Management in Developing Countries Daoyi Chen, Department of Engineering, University of Liverpool César Carmona-Moreno, EU Joint Research Centre Andrea Leone, Department of Engineering, University of Liverpool Shahriar Shams, Department of Engineering, University of Liverpool EUR 23705 EN - 2008 The mission of the Institute for Environment and Sustainability is to provide scientific-technical support to the European Union’s Policies for the protection and sustainable development of the European and global environment. European Commission Joint Research Centre Institute for Environment and Sustainability Contact information Cesar Carmona-Moreno Address: via fermi, T440, I-21027 ISPRA (VA) ITALY E-mail: [email protected] Tel.: +39 0332 78 9654 Fax: +39 0332 78 9073 http://ies.jrc.ec.europa.eu/ http://www.jrc.ec.europa.eu/ Legal Notice Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this publication. Europe Direct is a service to help you find answers to your questions about the European Union Freephone number (*): 00 800 6 7 8 9 10 11 (*) Certain mobile telephone operators do not allow access to 00 800 numbers or these calls may be billed. A great deal of additional information on the European Union is available on the Internet. It can be accessed through the Europa server http://europa.eu/ JRC [49291] EUR 23705 EN ISBN 978-92-79-11229-4 ISSN 1018-5593 DOI 10.2788/71249 Luxembourg: Office for Official Publications of the European Communities © European Communities, 2008 Reproduction is authorised provided the source is acknowledged Printed in Italy Table of Content Introduction............................................................................................................................4 1. -
Image Compression INFORMATION SHEET June 2013
Image Compression INFORMATION SHEET June 2013 What is compression? thumbnails for indexing, since it would save storage space. If it is necessary to see detail in the imagery, too much In computer terms, compression means to make file sizes compression should be avoided. smaller by reorganizing the data in the file. Data that is duplicated or has no value is saved in a shorter format or Can imagery become better with compression? eliminated, greatly reducing the file size. If by “better”, ones means that a smaller file size can be more Probably the most common compression format is a zip file. user friendly, then yes. However, imagery cannot be made Files within the zip file return to their original state when “higher quality” or “higher resolution” through compression. unzipped and viewed. What is the downside of compression? What is imagery compression? Compressed image files can lose data, even though it may not Compressing imagery is different than zipping files. Imagery be apparent to the user. Sometimes this is an undesirable side compression changes the organization and content of the data effect, especially if compression is done incorrectly on high within a file. The data is not necessarily restored to its quality raster data. The resulting imagery may not be original condition upon opening. Image compression compatible with some software or analysis modules, or may be reorganizes the data and may degrade it to achieve the of degraded quality, obscuring features that were clearly desired compression level. Depending on the compression identifiable on the uncompressed data. ratio, the sacrifice of data may or may not be noticeable. -
Gvsig a Real Tool for GIS Technicians
gvSIG a real tool for GIS technicians Jorge Gaspar Sanz Salinas [email protected] International Geodetic Students Meeting 05/05/08 · Valencia Agenda Origins of the project What is gvSIG? OK, but what can gvSIG do for me now? The near and mid-term future Conclusions IGSM · Valencia · 05/05/08 gvSIG a real tool for GIS technicians 2 Origins What is gvSIG? Capabilities Origins of the project Future Conclusions In 2003 CIT decides to migrate to Free Software (gvPONTIS), why? Better usage of incoming budget Promote local industry Technology independence At this time, no free CAD or GIS available Launch a brand new project From a local to a global project IGSM · Valencia · 05/05/08 gvSIG a real tool for GIS technicians 3 Origins What is gvSIG? Capabilities a desktop GIS Future Conclusions A classical geographical information tool Retrieve data Edit and analyse Output results IGSM · Valencia · 05/05/08 gvSIG a real tool for GIS technicians 4 Origins What is gvSIG? Capabilities a desktop GIS Future Conclusions IGSM · Valencia · 05/05/08 gvSIG a real tool for GIS technicians 5 Origins What is gvSIG? Capabilities a desktop GIS Future Conclusions Main characteristics: Developed in Java Runs in Windows, GNU/Linux and MacOS Modular and extensible Fast development Quite similar to ESRI ArcView 3.2 interface Uses the best Free Software components IGSM · Valencia · 05/05/08 gvSIG a real tool for GIS technicians 6 Origins What is gvSIG? Capabilities free software Future Conclusions It's Free Software (GPL), so you can Use it for whatever you want Study how it works (and adapt it) Redistribute it Improve it translating adding new features .. -
Niva – New Iacs Vision in Action
NIVA – NEW IACS VISION IN ACTION WP3 - Harmonisation and Interoperability D3.4 Recommendations for IACS data flows Deliverable Lead: OPEKEPE Deliverable due date: 30/11/2020 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 842009. D3.4 Recommendations for IACS data flows Disclaimer This document is issued within the frame and for the purpose of the NIVA project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 842009. The opinions expressed and arguments employed herein do not necessarily reflect the official views of the European Commission. This document and its content are the property of the NIVA Consortium. All rights relevant to this document are determined by the applicable laws. Access to this document does not grant any right or license on the document or its contents. This document or its contents are not to be used or treated in any manner inconsistent with the rights or interests of the NIVA Consortium or the Partners detriment and are not to be disclosed externally without prior written consent from the NIVA Partners. Each NIVA Partner may use this document in conformity with the NIVA Consortium Grant Agreement provisions. niva4cap.eu Copyright © NIVA Project Consortium 2 of 113 D3.4 Recommendations for IACS data flows Table of Contents Table of Contents ................................................................................................................................... -
Python Scripting for Spatial Data Processing
Python Scripting for Spatial Data Processing. Pete Bunting and Daniel Clewley Teaching notes on the MSc's in Remote Sensing and GIS. May 4, 2013 Aberystwyth University Institute of Geography and Earth Sciences. Copyright c Pete Bunting and Daniel Clewley 2013. This work is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons. org/licenses/by-sa/3.0/. i Acknowledgements The authors would like to acknowledge to the supports of others but specifically (and in no particular order) Prof. Richard Lucas, Sam Gillingham (developer of RIOS and the image viewer) and Neil Flood (developer of RIOS) for their support and time. ii Authors Peter Bunting Dr Pete Bunting joined the Institute of Geography and Earth Sciences (IGES), Aberystwyth University, in September 2004 for his Ph.D. where upon completion in the summer of 2007 he received a lectureship in remote sensing and GIS. Prior to joining the department, Peter received a BEng(Hons) in software engineering from the department of Computer Science at Aberystwyth University. Pete also spent a year working for Landcare Research in New Zealand before rejoining IGES in 2012 as a senior lecturer in remote sensing. Contact Details EMail: [email protected] Senior Lecturer in Remote Sensing Institute of Geography and Earth Sciences Aberystwyth University Aberystwyth Ceredigion SY23 3DB United Kingdom iii iv Daniel Clewley Dr Dan Clewley joined IGES in 2006 undertaking an MSc in Remote Sensing and GIS, following his MSc Dan undertook a Ph.D. entitled Retrieval of Forest Biomass and Structure from Radar Data using Backscatter Modelling and Inversion under the supervision of Prof. -
Understanding Compression of Geospatial Raster Imagery
Understanding Compression of Geospatial Raster Imagery Document Overview This document was created for the North Carolina Geographic Information and Coordinating Council (GICC), http://ncgicc.com, by the GIS Technical Advisory Committee (TAC). Its purpose is to serve as a best practice or guidance document for GIS professionals that are compressing raster images. This document only addresses compressing geospatial raster data and specifically aerial or orthorectified imagery. It does not address compressing LiDAR data. Compression Overview Compression is the process of making data more compact so it occupies less disk storage space. The primary benefit of compressing raster data is reduction in file size. An added benefit is greatly improved performance over a network, because the user is transferring less data from a server to an application; however, compressed data must be decompressed to display in GIS software. The result may be slower raster display in GIS software than data that is not compressed. Compressed data can also increase CPU requirements on the server or desktop. Glossary of Common Terms Raster is a spatial data model made of rows and columns of cells. Each cell contains an attribute value identifying its color and location coordinate. Geospatial raster data like satellite images and aerial photographs are typically larger on average than vector data (predominately points, lines, or polygons). Compression is the process of making a (raster) file smaller while preserving all or most of the data it contains. Imagery compression enables storage of more data (image files) on a disk than if they were uncompressed. Compression ratio is the amount or degree of reduction of an image's file size. -
GRASS GIS 6.3 Command List
d.erase Erase the contents of the active display frame with user defined color d.extend Set window region so that all currently displayed raster, vector and sites maps can be shown in a monitor. d.extract Select and extract vectors with mouse into new vector map d.font.freetype Selects the font in which text will be displayed on the user’s graphics monitor. d.font Selects the font in which text will be displayed on the user’s graphics monitor. d.frame Manages display frames on the user’s graphics monitor. GRASS GIS 6.3 Command list d.geodesic Displays a geodesic line, tracing the shortest distance between two geographic points 20 Novermber 2006 along a great circle, in a longitude/latitude data set. d.graph Program for generating and displaying simple graphics on the display monitor. d.grid Overlays a user-specified grid in the active display frame on the graphics monitor. Command types: d.his Displays the result obtained by combining hue, intensity, and saturation (his) values from user-specified input raster map layers. d.* display commands d.histogram Displays a histogram in the form of a pie or bar chart for a user-specified raster file. db.* database commands d.info Display information about the active display monitor g.* general commands d.labels Displays text labels (created with v.label) to the active frame on the graphics monitor. i.* imagery commands d.legend Displays a legend for a raster map in the active frame of the graphics monitor. m.* miscellanous commands d.linegraph Generates and displays simple line graphs in the active graphics monitor display ps.* postscript commands frame.