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Release 3.0.0 Azavea
GeoTrellis Documentation Release 3.0.0 Azavea Dec 08, 2020 Home 1 Why GeoTrellis? 3 2 Contact and Support 5 3 Hello Raster! 7 3.1 Contributing...............................................8 3.2 Setup................................................... 15 3.3 Quick Start................................................ 16 3.4 Kernel Density.............................................. 18 3.5 Reading GeoTiffs............................................. 24 3.6 Core Concepts.............................................. 30 3.7 Using Rasters............................................... 58 3.8 Using Vectors............................................... 76 3.9 Spark and GeoTrellis........................................... 96 3.10 Ingesting Imagery with GeoTrellis.................................... 108 3.11 The Pipeline Tool (an alternative ETL tool)............................... 110 3.12 Extending GeoTrellis Types....................................... 116 3.13 GeoTrellis Module Hierarchy...................................... 121 3.14 Tile Layer Backends........................................... 128 3.15 Vector Data Backends.......................................... 134 3.16 Frequently Asked Questions....................................... 135 3.17 Example Archive............................................. 138 3.18 Architecture Decision Records...................................... 141 3.19 Proj4 Implementation.......................................... 156 3.20 High Performance Scala......................................... 157 3.21 -
Proceedings of the 2018 Conference on Adding Value and Preserving Data
Conference Proceedings RAL-CONF-2018-001 PV2018: Proceedings of the 2018 conference on adding value and preserving data Harwell, UK 15th-17th May, 2018 Esther Conway (editor), Kate Winfield (editorial assistant) May 2018 ©2018 Science and Technology Facilities Council This work is licensed under a Creative Commons Attribution 4.0 Unported License. Enquiries concerning this report should be addressed to: RAL Library STFC Rutherford Appleton Laboratory Harwell Oxford Didcot OX11 0QX Tel: +44(0)1235 445384 Fax: +44(0)1235 446403 email: [email protected] Science and Technology Facilities Council reports are available online at: http://epubs.stfc.ac.uk ISSN 1362-0231 Neither the Council nor the Laboratory accept any responsibility for loss or damage arising from the use of information contained in any of their reports or in any communication about their tests or investigations. Proceedings of the 2018 conference on adding value and preserving data This publication is a Conference report published by the This publication is a Conference report published by the Science and Technology (STFC) Library and Information Service. The scientific output expressed does not imply a policy position of STFC. Neither STFC nor any person acting on behalf of the Commission is responsible for the use that might be made of this publication. Contact information Name: Esther Conway Address: STFC, Rutherford Appleton Laboratory Harwell, Oxon, UK Email: [email protected] Tel.: +44 01235 446367 STFC https://www.stfc.ac.uk RAL-CONF-2018-001 ISSN- 1362-0231. Preface The PV2018 Conference welcomes you to its 9th edition, to be held 15th – 17th May 2018 at the Rutherford Appleton Laboratory, Harwell Space Cluster (UK), hosted by the UK Space Agency and jointly organised by STFC, NCEO and the Satellite Applications Catapult. -
A New Initiative for Tiling, Stitching and Processing Geospatial Big Data in Distributed Computing Environments
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume III-4, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic A NEW INITIATIVE FOR TILING, STITCHING AND PROCESSING GEOSPATIAL BIG DATA IN DISTRIBUTED COMPUTING ENVIRONMENTS A. Olasz a*, B. Nguyen Thai b, D. Kristóf a a Department of Geoinformation, Institute of Geodesy, Cartography and Remote Sensing (FÖMI),5. Bosnyák sqr. Budapest, 1149 (olasz.angela, kristof.daniel)@fomi.hu b Department of Cartography and Geoinformatics, Eötvös Loránd University (ELTE), 1/A Pázmány Péter sétány, Budapest, 1117 Hungary, [email protected] Commission ICWG IV/II KEYWORDS: Distributed computing, GIS processing, raster data tiling, data assimilation, remote sensing data analysis, geospatial big data, spatial big data ABSTRACT Within recent years, several new approaches and solutions for Big Data processing have been developed. The Geospatial world is still facing the lack of well-established distributed processing solutions tailored to the amount and heterogeneity of geodata, especially when fast data processing is a must. The goal of such systems is to improve processing time by distributing data transparently across processing (and/or storage) nodes. These types of methodology are based on the concept of divide and conquer. Nevertheless, in the context of geospatial processing, most of the distributed computing frameworks have important limitations regarding both data distribution and data partitioning methods. Moreover, flexibility and expendability for handling various data types (often in binary formats) are also strongly required. This paper presents a concept for tiling, stitching and processing of big geospatial data. The system is based on the IQLib concept (https://github.com/posseidon/IQLib/) developed in the frame of the IQmulus EU FP7 research and development project (http://www.iqmulus.eu). -
Model My Watershed: a Tool for Water Resource Management Webcast Sponsored by EPA’S Watershed Academy
Model My Watershed: A Tool for Water Resource Management Webcast sponsored by EPA’s Watershed Academy Thursday, March 9, 2017 1:00pm – 3:00pm Eastern Speakers: • Dr. Anthony Aufdenkampe, Senior Environmental Scientist, LimnoTech • Dr. Barry M. Evans, Senior Research Associate, Penn State University and Adjunct Faculty member at Stroud Water Research Center • Bill Brown, Chief, TMDL Development Section, Pennsylvania Department of Environmental Protection Webcast Logistics • To Ask a Question • Type your question in the “Questions” tool box on the right side of your screen and click “Send.” • To Report any Technical Issues • such as audio problems • Type your issue in the “Questions” tool box on the right side of your screen and click “Send” and we will respond by posting an answer in the “Questions” box. 2 1 Speakers • Dr. Anthony Aufdenkampe, a Senior Environmental Scientist at LimnoTech in Minnesota. He serves as the project manager for Model My Watershed at Stroud Water Research Center. • Dr. Barry M. Evans, a Senior Research Associate at Penn State University and Adjunct Faculty Member at Stroud Water Research Center. He is the author of the (MapShed) model that has been incorporated into the Model My Watershed online tool • Bill Brown, who is Chief of the TMDL Development Section at Pennsylvania’s Department of Environmental Protection 3 Overview of Today’s Webinar • WikiWatershed and the Model My Watershed Web App • Motivation & Vision • Delaware River Watershed Initiative (DWRI) • ”Site Storm Model” in Model My Watershed • Introduction -
A Survey on Spatio-Temporal Data Analytics Systems
A Survey on Spatio-temporal Data Analytics Systems MD MAHBUB ALAM and LUIS TORGO, Dalhousie University, Canada ALBERT BIFET, The University of Waikato, New Zealand Due to the surge of spatio-temporal data volume, the popularity of location-based services and applications, and the importance of extracted knowledge from spatio-temporal data to solve a wide range of real-world problems, a plethora of research and development work has been done in the area of spatial and spatio- temporal data analytics in the past decade. The main goal of existing works was to develop algorithms and technologies to capture, store, manage, analyze, and visualize spatial or spatio-temporal data. The researchers have contributed either by adding spatio-temporal support with existing systems, by developing a new system from scratch for processing spatio-temporal data, or by implementing algorithms for mining spatio-temporal data. The existing ecosystem of spatial and spatio-temporal data analytics can be categorized into three groups, (1) spatial databases (SQL and NoSQL), (2) big spatio-temporal data processing infrastructures, and (3) programming languages and software tools for processing spatio-temporal data. Since existing surveys mostly investigated big data infrastructures for processing spatial data, this survey has explored the whole ecosystem of spatial and spatio-temporal analytics along with an up-to-date review of big spatial data processing systems. This survey also portrays the importance and future of spatial and spatio-temporal data analytics. CCS Concepts: • General and reference ! Surveys and overviews; • Information systems ! Spatial- temporal systems; Parallel and distributed DBMSs. Additional Key Words and Phrases: spatial databases, spatial NoSQL, big spatial data, spatio-temporal data, trajectory data, spatial data stream, GIS software, spatial libraries ACM Reference Format: Md Mahbub Alam, Luis Torgo, and Albert Bifet. -
Release 1.0.0 Azavea
GeoTrellis Documentation Release 1.0.0 Azavea Nov 29, 2018 Home 1 Why GeoTrellis? 3 2 Contact and Support 5 3 Hello Raster! 7 3.1 Changelog................................................8 3.2 Contributing............................................... 28 3.3 Setup................................................... 30 3.4 Quick Start................................................ 31 3.5 Kernel Density.............................................. 34 3.6 Reading GeoTiffs............................................. 40 3.7 Extract-Transform-Load (ETL)..................................... 46 3.8 Core Concepts.............................................. 50 3.9 Using Rasters............................................... 77 3.10 Using Vectors............................................... 94 3.11 Spark and GeoTrellis........................................... 114 3.12 The ETL Tool.............................................. 126 3.13 Extending GeoTrellis Types....................................... 137 3.14 GeoTrellis Module Hierarchy...................................... 142 3.15 Tile Layer Backends........................................... 146 3.16 Vector Data Backends.......................................... 152 3.17 Frequently Asked Questions....................................... 154 3.18 Example Archive............................................. 156 3.19 Architecture Decision Records...................................... 159 3.20 Proj4 Implementation.......................................... 174 3.21 High Performance Scala........................................ -
Release 1.0.0 Azavea
GeoTrellis Documentation Release 1.0.0 Azavea Jun 23, 2017 Home 1 Why GeoTrellis? 3 2 Contact and Support 5 3 Hello Raster! 7 3.1 Changelog................................................8 3.2 Contributing............................................... 18 3.3 Setup................................................... 20 3.4 Quick Start................................................ 21 3.5 Kernel Density.............................................. 23 3.6 Reading GeoTiffs............................................. 30 3.7 Extract-Transform-Load (ETL)..................................... 36 3.8 Core Concepts.............................................. 40 3.9 Using Rasters............................................... 66 3.10 Using Vectors............................................... 81 3.11 Spark and GeoTrellis........................................... 93 3.12 The ETL Tool.............................................. 106 3.13 Extending GeoTrellis Types....................................... 115 3.14 GeoTrellis Module Hierarchy...................................... 120 3.15 Tile Layer Backends........................................... 125 3.16 Vector Data Backends.......................................... 130 3.17 Frequently Asked Questions....................................... 131 3.18 Architecture Decision Records...................................... 134 3.19 Proj4 Implementation.......................................... 139 3.20 High Performance Scala......................................... 140 i ii GeoTrellis Documentation, -
Model My Watershed: a Tool for Water Resource Management Webcast Sponsored by EPA’S Watershed Academy
Model My Watershed: A Tool for Water Resource Management Webcast sponsored by EPA’s Watershed Academy Thursday, March 9, 2017 1:00pm – 3:00pm Eastern Speakers: • Dr. Anthony Aufdenkampe, Senior Environmental Scientist, LimnoTech • Dr. Barry M. Evans, Senior Research Associate, Penn State University and Adjunct Faculty member at Stroud Water Research Center • Bill Brown, Chief, TMDL Development Section, Pennsylvania Department of Environmental Protection Webcast Logistics • To Ask a Question • Type your question in the “Questions” tool box on the right side of your screen and click “Send.” • To Report any Technical Issues • such as audio problems • Type your issue in the “Questions” tool box on the right side of your screen and click “Send” and we will respond by posting an answer in the “Questions” box. 2 1 Speakers • Dr. Anthony Aufdenkampe, a Senior Environmental Scientist at LimnoTech in Minnesota. He serves as the project manager for Model My Watershed at Stroud Water Research Center. • Dr. Barry M. Evans, a Senior Research Associate at Penn State University and Adjunct Faculty Member at Stroud Water Research Center. He is the author of the (MapShed) model that has been incorporated into the Model My Watershed online tool • Bill Brown, who is Chief of the TMDL Development Section at Pennsylvania’s Department of Environmental Protection 3 Overview of Today’s Webinar • WikiWatershed and the Model My Watershed Web App • Motivation & Vision • Delaware River Watershed Initiative (DWRI) • “Site Storm Model” in Model My Watershed • Introduction -
SEPTEMBER 8Th – 13Th
SEPTEMBER 8TH – 13TH Draft#3.indd 1 8/28/14 10:57 AM WELCOME It is a pleasure to welcome you to Portland, and to FOSS4G 2014, the 10th anniversary of the largest global gathering focused on open source geospatial software. We are looking forward to an action-packed week and hope you are too. We have an excellent program this year. We received 287 abstracts, and have built a rich schedule: over 40 workshops, followed by 3 days of presentations and featured talks 8 tracks deep. The large number of high-quality submissions is a welcome sign of the vitality of the FOSS4G ecosystem. Good stuff. The new Travel Grant program has been a big success. We received over $1,000 in donations from attendees, plus donations from PGExperts and Amazon.com that have enabled us to provide funding to fifteen people, eight of them from under-represented groups, hailing from four countries and eight states within the US. We’re very proud of this, and we hope to see it continue in future FOSS4G events; increasing access to FOSS4G strengthens both the conference and our community. Included in your registration is admission to the fun-filled FOSS4G Gala Night, hosted at the World Forestry Center, with door to door MAX service from the Oregon Convention Center. Join us at the Gala to celebrate FOSS4G, learn a little more of the history of the Pacific Northwest, and to continue conversations started at the preceding OSGeo Annual General Meeting. Be sure to check the schedule for other events. We would like to thank the Program Committee, whose members reviewed the many papers and provided valuable planning and feedback over the course of a fast-paced year of preparing for this event. -
Geotrellis Documentation Release 3.5.1
GeoTrellis Documentation Release 3.5.1 Azavea Dec 10, 2020 Home 1 Why GeoTrellis? 3 2 Contact and Support 5 3 Hello Raster! 7 3.1 Contributing...............................................8 3.2 Setup................................................... 15 3.3 Quick Start................................................ 16 3.4 Kernel Density.............................................. 18 3.5 Reading GeoTiffs............................................. 24 3.6 Core Concepts.............................................. 30 3.7 Migrating to GeoTrellis 3.0....................................... 58 3.8 Using Rasters............................................... 59 3.9 Using Vectors............................................... 78 3.10 Spark and GeoTrellis........................................... 98 3.11 Ingesting Imagery with GeoTrellis.................................... 110 3.12 The Pipeline Tool (an alternative ETL tool)............................... 112 3.13 Extending GeoTrellis Types....................................... 118 3.14 GeoTrellis Module Hierarchy...................................... 123 3.15 Tile Layer Backends........................................... 130 3.16 Vector Data Backends.......................................... 136 3.17 Frequently Asked Questions....................................... 137 3.18 Example Archive............................................. 140 3.19 Architecture Decision Records...................................... 143 3.20 Proj4 Implementation.......................................... 162 3.21 -
D4.1 - Methods and Tools for Scalable Distributed Processing
Big Data to Enable Global Disruption of the Grapevine-powered Industries D4.1 - Methods and Tools for Scalable Distributed Processing DELIVERABLE NUMBER D4.1 DELIVERABLE TITLE Methods and Tools for Scalable Distributed Processing RESPONSIBLE AUTHOR Vinicius Monteiro de Lira (CNR) Co-funded by the Horizon 2020 Framework Programme of the European Union Big Data to Enable Global Disruption of the Grapevine-powered industries GRANT AGREEMENT N. 780751 PROJECT ACRONYM BigDataGrapes Big Data to Enable Global Disruption of the Grapevine-powered PROJECT FULL NAME industries STARTING DATE (DUR.) 01/01/2018 (36 months) ENDING DATE 31/12/2020 PROJECT WEBSITE http://www.bigdatagrapes.eu/ COORDINATOR Nikos Manouselis ADDRESS 110 Pentelis Str., Marousi, GR15126, Greece REPLY TO [email protected] PHONE +30 210 6897 905 EU PROJECT OFFICER Ms. Annamária Nagy WORKPACKAGE N. | TITLE WP4 | Analytics and Processing Layer WORKPACKAGE LEADER CNR DELIVERABLE N. | TITLE D4.1 | Methods and Tools for Scalable Distributed Processing RESPONSIBLE AUTHOR Vinicius Monteiro de Lira (CNR) REPLY TO [email protected] DOCUMENT URL http://www.bigdatagrapes.eu DATE OF DELIVERY (CONTRACTUAL) 30 September 2018 (M9), 31 December 2019 (M24, Upadated version) DATE OF DELIVERY (SUBMITTED) 28 September 2018 (M9), 30 December 2019 (M24, Upadated version) VERSION | STATUS 2.0 | Final NATURE DEM (Demonstrator) DISSEMINATION LEVEL PU (Public) Franco Maria Nardini (CNR), Raffaele Perego (CNR), Vinicius Monteiro AUTHORS (PARTNER) de Lira (CNR), Ida Mele (CNR), Cristina -
Geotrellis Documentation Release 1.0.0
GeoTrellis Documentation Release 1.0.0 Azavea Aug 09, 2018 Home 1 Why GeoTrellis? 3 2 Contact and Support 5 3 Hello Raster! 7 3.1 Changelog................................................8 3.2 Contributing............................................... 25 3.3 Setup................................................... 27 3.4 Quick Start................................................ 28 3.5 Kernel Density.............................................. 30 3.6 Reading GeoTiffs............................................. 37 3.7 Extract-Transform-Load (ETL)..................................... 43 3.8 Core Concepts.............................................. 47 3.9 Using Rasters............................................... 73 3.10 Using Vectors............................................... 90 3.11 Spark and GeoTrellis........................................... 110 3.12 The ETL Tool.............................................. 122 3.13 Extending GeoTrellis Types....................................... 133 3.14 GeoTrellis Module Hierarchy...................................... 138 3.15 Tile Layer Backends........................................... 142 3.16 Vector Data Backends.......................................... 148 3.17 Frequently Asked Questions....................................... 150 3.18 Example Archive............................................. 152 3.19 Architecture Decision Records...................................... 155 3.20 Proj4 Implementation.......................................... 169 3.21 High Performance Scala........................................