GDAL 2.0 Overview
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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 -
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. -
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. -
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. -
The State of Open Source GIS
The State of Open Source GIS Prepared By: Paul Ramsey, Director Refractions Research Inc. Suite 300 – 1207 Douglas Street Victoria, BC, V8W-2E7 [email protected] Phone: (250) 383-3022 Fax: (250) 383-2140 Last Revised: September 15, 2007 TABLE OF CONTENTS 1 SUMMARY ...................................................................................................4 1.1 OPEN SOURCE ........................................................................................... 4 1.2 OPEN SOURCE GIS.................................................................................... 6 2 IMPLEMENTATION LANGUAGES ........................................................7 2.1 SURVEY OF ‘C’ PROJECTS ......................................................................... 8 2.1.1 Shared Libraries ............................................................................... 9 2.1.1.1 GDAL/OGR ...................................................................................9 2.1.1.2 Proj4 .............................................................................................11 2.1.1.3 GEOS ...........................................................................................13 2.1.1.4 Mapnik .........................................................................................14 2.1.1.5 FDO..............................................................................................15 2.1.2 Applications .................................................................................... 16 2.1.2.1 MapGuide Open Source...............................................................16 -
From GDAL to SAGA: Tips & Tricks from the World of Open Source
From GDAL to SAGA: Tips & Tricks from the World of Open Source Trevor Hobbs Resource Information Manager Huron-Manistee National Forests From GDAL to SAGA: Tips & Tricks from the World of Open Source Trevor Hobbs Resource Information Manager Director of Location Intelligence Huron-Manistee National Forests Purpose of this Presentation • Provide a brief introduction to a variety of open source GIS software • Serve as a reference to links and documentation • DEMO– LiDAR data processing using Open Source GIS • Relate open source GIS workflows to ESRI workflows • Promote greater awareness of open source GIS at IMAGIN Application Soft Launch – Michigan Forest Viewer, LiDAR Derivative Products served as WMTS layers through Amazon Web Services What is “Open Source” GIS? From the Open Source Geospatial Foundation… Technical • Open Source: a collaborative approach to Geospatial software development Documentation Release • Open Data: freely available information to use as you wish Collaborative Sustainable • Open Standards: avoid lock-in with interoperable Open Source Participatory software Social Open Developers Fair • Open Education: Removing the barriers to Community Guide learning and teaching Open Source Geospatial Foundation https://www.osgeo.org/ My Journey to Open Source… • Think geo-centric solutions, not software-centric solutions • International community of geospatial professionals from all backgrounds • Transparency builds trust Where do I get the Software? OSGeo Installation… • Link to download… https://qgis.org/en/site/forusers/download.html -
Proof of Concept and State of the Art in FOSS Geospatial Technology
Field Information Geospatial-database System (FIGS) for the United Nations Office for Coordination of Humanitarian Affairs (OCHA) Proof of concept and state of the art in FOSS Geospatial Technology Report by Sean Ahearn, Ph.D., Hunter College - CUNY David Almeida, Hunter College CUNY Software Engineer, TTSI Mark Gahegan, Ph.D. Pennsylvania State University To Mr. Suha Ulgen Technical Coordinator Field Information Support Project Office for the Coordination of Humanitarian Affairs One UN Plaza DC1-1368 New York, NY 10017 March 2006 FIGS Working Group Document: Proof of Concept and state of the art in FOSS 1 Geospatial Technology 3/15/2006 Table of Contents Page number Executive Summary 5 1.0 Introduction 7 2.0 Purpose of broader project 9 2.1 Phase 1: Proof of Concept and state of the art in FOSS Geospatial Technology 9 2.2 FIGS Development 9 2.3 Phase 3: FIGS Field Implementation 11 3.0 Background 11 4.0 Phase I: Proof of Concept and state of the 12 art in FOSS Geospatial Technology 4.1.1 Initial overview of the use of geospatial 12 technology for disaster relief management. 4.1.2 Introduction: Humanitarian Information Centers (HIC) 13 4.1.3 Tsunami (South-east Asia) 16 4.1.4 Earthquake (Pakistan-India) 17 4.2 Within the context of these emergencies, conduct a 20 preliminary data needs assessment and establish functionality requirements for geospatial query, analysis and cartographic output. 4.2.1 Current software systems used 21 4.2.2 Required functionality of Geospatial environment 21 4.2.3 Critical information needs 22 4.2.4 Operational conditions 24 4.3 Assemble, integrate and test Free Open Source Software 24 (FOSS) systems for storage, maintenance, access and analysis of geospatial information. -
Quick Introduction to Lidar and Basic Lidar Tools What Is Lidar
Quick Introduction to Lidar and Basic Lidar Tools What is Lidar LIDAR is an Acronym for LIght Detection And Ranging A basic lidar device consists of a laser, an optical telescope, and a detector. Laser Telescope/ Detector What is Lidar ? - Cont. The detector counts the intensity of photons returned over fixed time intervals and these intensities over times are converted to heights called range bins. range bin = dz=(c*dt)/2, where c = the speed of light, dz = distance dt = time. 160 ns would = 24m of dz See http://pcl.physics.uwo.ca/science/lidarintro/ for details. Types of Lidar - Lasers Lasers can be pulsed or continuous wave, or can be of different frequencies Standard airborne lasers will be near - infrared(1047nm, 1064nm, and 1550nm). Bathymetric lasers – green (EAARL NOAA/USGS, Commercial) Multibeam Lidar – 2 lasers near infrared and Green – mainly coastal, but may become more mainstream. http://agrg.cogs.nscc.ca/resources/lidar- glossary Types of Lidar – Platforms Satellite – mostly profiles Fixed-wing aircraft – most common cost- effective Helicopter – higher accuracy over large areas and air density/pollutant measurements Ground Based – Scan area around point Tabletop/vehicle mounted – specialized applications for specific areas. 3D scan – place object on rotating surface to scan the object in 3 dimensions Posting/Point Spacing Distance Distance between successive ground points Historic 5-8 Meters ( NC 2001) FEMA Flood standard 1.4 M/ USGS QL2 standard 0.7m posting High density 10 points /M FEMA requires better reporting/metadata http://www.fema.gov/plan/prevent/fhm/lidar_4b.shtm From http://www.eijournal.com/LiDar_Mapping.asp Lidar data outputs Ascii X,Y,Z Proprietary binary formats – older data going away ( .ebn, .eebn) LAS format -Industry standard, not mandatory, usually not all “required” fields populated. -
Spatialist Documentation
spatialist Documentation John Truckenbrodt, Felix Cremer, Ismail Baris Jul 17, 2020 Contents 1 Installation 1 1.1 Installation of dependencies.......................................1 1.2 Installation of spatialist..........................................2 2 API Documentation 3 2.1 Raster Class...............................................3 2.2 Raster Tools...............................................8 2.3 Vector Class............................................... 12 2.4 Vector Tools............................................... 16 2.5 General Spatial Tools........................................... 18 2.6 Database Tools.............................................. 21 2.7 Ancillary Functions........................................... 21 2.8 ENVI HDR file manipulation...................................... 24 2.9 Data Exploration............................................. 25 3 Some general examples 27 3.1 in-memory vector object rasterization.................................. 27 4 Changelog 29 4.1 v0.4.................................................... 29 4.2 v0.5.................................................... 29 4.3 v0.6.................................................... 30 5 Indices and tables 31 Python Module Index 33 Index 35 i ii CHAPTER 1 Installation The most convenient way to install spatialist is by using conda: conda install --channel conda-forge spatialist See below for more detailed Linux installation instructions outside of the Anaconda framework. 1.1 Installation of dependencies 1.1.1 GDAL spatialist requires -
Geoserver, the Open Source Server for Interoperable Spatial Data Handling
GeoServer, the open source server for interoperable spatial data handling Ing. Simone Giannecchini, GeoSolutions Ing. Andrea Aime, GeoSolutions Outline Who is GeoSolutions? Quick intro to GeoServer What’s new in the 2.2.x series What’s new in the 2.3.x series What’s cooking for the 2.4.x series GeoSolutions Founded in Italy in late 2006 Expertise • Image Processing, GeoSpatial Data Fusion • Java, Java Enterprise, C++, Python • JPEG2000, JPIP, Advanced 2D visualization Supporting/Developing FOSS4G projects GeoTools, GeoServer GeoNetwork, GeoBatch, MapStore ImageIO-Ext and more: https://github.com/geosolutions-it Focus on Consultancy PAs, NGOs, private companies, etc… GeoServer quick intro GeoServer GeoSpatial enterprise gateway − Java Enterprise − Management and Dissemination of raster and vector data Standards compliant − OGC WCS 1.0, 1.1.1 (RI), 2.0 in the pipeline − OGC WFS 1.0, 1.1 (RI), 2.0 − OGC WMS 1.1.1, 1.3 − OGC WPS 1.0.0 Google Earth/Maps support − KML, GeoSearch, etc.. ---------- -------------------- PNG, GIF ------------------- Shapefile ------------------- WMS JPEG ---------- 1.1.1 TIFF, 1.3.0 Vector files GeoTIFF PostGIS SVG, PDF Oracle Styled KML/KMZ H2 Google maps DB2 SQL Server Shapefile MySql WFS GML2 Spatialite 1.0, 1.1, GML3 GeoCouch DBMS GeoRSS 2.0 Raw vector data GeoJSON CSV/XLS ArcSDE WPS WFS 1.0.0 GeoServer GeoServer GeoTIFF Servers WCS ArcGrid GeoTIFF 1.0,1.1.1 GTopo30 WMS 2.0.1 Raw raster Img+World ArcGrid data GTopo30 GWC Formats and Protocols and Formats Img+world (WMTS, KML superoverlays Mosaic Raster files TMS, Google maps tiles MrSID WMS-C) OGC tiles JPEG 2000 ECW,Pyramid, Oracle GeoRaster, PostGis Raster OSGEO tiles Administration GUI RESTful Configuration Programmatic configuration of layers via REST calls − Workspaces, Data stores / coverage stores − Layers and Styles, Service configurations − Freemarker templates (incoming) Exposing internal configuration to remote clients − Ajax - JavaScript friendly Various client libraries available in different languages (Java, Python, Ruby, …).