100+ datasets found
  1. Getting to Know ArcGIS Pro 2.6

    • dados-edu-pt.hub.arcgis.com
    Updated Aug 19, 2020
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    Esri Portugal - Educação (2020). Getting to Know ArcGIS Pro 2.6 [Dataset]. https://dados-edu-pt.hub.arcgis.com/datasets/getting-to-know-arcgis-pro-2-6
    Explore at:
    Dataset updated
    Aug 19, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Portugal - Educação
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Description

    Continuing the tradition of the best-selling Getting to Know series, Getting to Know ArcGIS Pro 2.6 teaches new and existing GIS users how to get started solving problems using ArcGIS Pro. Using ArcGIS Pro for these tasks allows you to understand complex data with the leading GIS software that many businesses and organizations use every day.Getting to Know ArcGIS Pro 2.6 introduces the basic tools and capabilities of ArcGIS Pro through practical project workflows that demonstrate best practices for productivity. Explore spatial relationships, building a geodatabase, 3D GIS, project presentation, and more. Learn how to navigate ArcGIS Pro and ArcGIS Online by visualizing, querying, creating, editing, analyzing, and presenting geospatial data in both 2D and 3D environments. Using figures to show each step, Getting to Know ArcGIS Pro 2.6 demystifies complicated process like developing a geoprocessing model, using Python to write a script tool, and the creation of space-time cubes. Cartographic techniques for both web and physical maps are included.Each chapter begins with a prompt using a real-world scenario in a different industry to help you explore how ArcGIS Pro can be applied for operational efficiency, analysis, and problem solving. A summary and glossary terms at the end of every chapter help reinforce the lessons and skills learned.Ideal for students, self-learners, and seasoned professionals looking to learn a new GIS product, Getting to Know ArcGIS Pro 2.6 is a broad textbook and desk reference designed to leave users feeling confident in using ArcGIS Pro on their own.AUDIENCEProfessional and scholarly. Higher education.AUTHOR BIOMichael Law is a cartographer and GIS professional with more than a decade of experience. He was a cartographer for Esri, where he developed cartography for books, edited and tested GIS workbooks, and was the editor of the Esri Map Book. He continues to work with GIS software, writing technical documentation, teaching training courses, and designing and optimizing user interfaces.Amy Collins is a writer and editor who has worked with GIS for over 16 years. She was a technical editor for Esri, where she honed her GIS skills and cultivated an interest in designing effective instructional materials. She continues to develop books on GIS education, among other projects.Pub Date: Print: 10/6/2020 Digital: 8/18/2020 ISBN: Print: 9781589486355 Digital: 9781589486362 Price: Print: $84.99 USD Digital: $84.99 USD Pages: 420 Trim: 7.5 x 9.25 in.Table of ContentsPrefaceChapter 1 Introducing GISExercise 1a: Explore ArcGIS OnlineChapter 2 A first look at ArcGIS Pro Exercise 2a: Learn some basics Exercise 2b: Go beyond the basics Exercise 2c: Experience 3D GISChapter 3 Exploring geospatial relationshipsExercise 3a: Extract part of a dataset Exercise 3b: Incorporate tabular data Exercise 3c: Calculate data statistics Exercise 3d: Connect spatial datasetsChapter 4 Creating and editing spatial data Exercise 4a: Build a geodatabase Exercise 4b: Create features Exercise 4c: Modify featuresChapter 5 Facilitating workflows Exercise 5a: Manage a repeatable workflow using tasks Exercise 5b: Create a geoprocessing model Exercise 5c: Run a Python command and script toolChapter 6 Collaborative mapping Exercise 6a: Prepare a database for data collection Exercise 6b: Prepare a map for data collection Exercise 6c: Collect data using ArcGIS CollectorChapter 7 Geoenabling your projectExercise 7a: Prepare project data Exercise 7b: Geocode location data Exercise 7c: Use geoprocessing tools to analyze vector dataChapter 8 Analyzing spatial and temporal patternsExercise 8a: Create a kernel density map Exercise 8b: Perform a hot spot analysis Exercise 8c: Explore the results in 3D Exercise 8d: Animate the dataChapter 9 Determining suitability Exercise 9a: Prepare project data Exercise 9b: Derive new surfaces Exercise 9c: Create a weighted suitability modelChapter 10 Presenting your project Exercise 10a: Apply detailed symbology Exercise 10b: Label features Exercise 10c: Create a page layout Exercise 10d: Share your projectAppendix Image and data source credits Data license agreement GlossaryGetting to Know ArcGIS Pro 2.6 | Official Trailer | 2020-08-10 | 00:57

  2. Use Deep Learning to Assess Palm Tree Health

    • hub.arcgis.com
    Updated Mar 14, 2019
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    Esri Tutorials (2019). Use Deep Learning to Assess Palm Tree Health [Dataset]. https://hub.arcgis.com/documents/d50cea3d161542b681333f1bc265029a
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    Dataset updated
    Mar 14, 2019
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Tutorials
    Description

    Coconuts and coconut products are an important commodity in the Tongan economy. Plantations, such as the one in the town of Kolovai, have thousands of trees. Inventorying each of these trees by hand would require lots of time and manpower. Alternatively, tree health and location can be surveyed using remote sensing and deep learning. In this lesson, you'll use the Deep Learning tools in ArcGIS Pro to create training samples and run a deep learning model to identify the trees on the plantation. Then, you'll estimate tree health using a Visible Atmospherically Resistant Index (VARI) calculation to determine which trees may need inspection or maintenance.

    To detect palm trees and calculate vegetation health, you only need ArcGIS Pro with the Image Analyst extension. To publish the palm tree health data as a feature service, you need ArcGIS Online and the Spatial Analyst extension.

    In this lesson you will build skills in these areas:

    • Creating training schema
    • Digitizing training samples
    • Using deep learning tools in ArcGIS Pro
    • Calculating VARI
    • Extracting data to points

    Learn ArcGIS is a hands-on, problem-based learning website using real-world scenarios. Our mission is to encourage critical thinking, and to develop resources that support STEM education.

  3. Bezirke - Berlin

    • gis-team-qualitas-esri-training.opendata.arcgis.com
    • opendata-esridech.hub.arcgis.com
    • +4more
    Updated Jul 12, 2018
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    Esri Deutschland (2018). Bezirke - Berlin [Dataset]. https://gis-team-qualitas-esri-training.opendata.arcgis.com/datasets/esri-de-content::bezirke-berlin
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    Dataset updated
    Jul 12, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Deutschland
    Area covered
    Description

    Daten des amtlichen Liegenschaftskatsterinformationssystems (ALKIS) - Die Bezirksgrenzen der 12 Berliner Bezirke.Quelle: Geoportal BerlinVerarbeitungsprozesse: WFS "ALKIS Bezirke" wurde in ArcGIS Pro importiert, nach Web Mercator projiziert und als Web Layer in ArcGIS Online veröffentlicht.

  4. Ortsteile - Berlin

    • portal-esri-de.opendata.arcgis.com
    • gis-team-qualitas-esri-training.opendata.arcgis.com
    • +4more
    Updated Feb 19, 2018
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    Esri Deutschland (2018). Ortsteile - Berlin [Dataset]. https://portal-esri-de.opendata.arcgis.com/datasets/esri-de-content::ortsteile-berlin
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    Dataset updated
    Feb 19, 2018
    Dataset provided by
    ESRIhttp://esri.com/
    Authors
    Esri Deutschland
    Area covered
    Description

    Daten des amtlichen Liegenschaftskatsterinformationssystems (ALKIS) - Ortsteile von Berlin.Quelle: Geoportal BerlinVerarbeitungsprozesse: WFS wurde in ArcGIS Pro als Feature Layer importiert, nach Web Mercator projiziert und als Web Layer in ArcGIS Online veröffentlicht.

  5. Adressen - Berlin

    • opendataportal-esri-konferenz-esri-training.opendata.arcgis.com
    • hub.arcgis.com
    • +4more
    Updated Jul 26, 2018
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    Esri Deutschland (2018). Adressen - Berlin [Dataset]. https://opendataportal-esri-konferenz-esri-training.opendata.arcgis.com/datasets/esri-de-content::adressen-berlin
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    Dataset updated
    Jul 26, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Deutschland
    Area covered
    Description

    Der Adress-Datensatz enthält eine Auswahl von Sachattributen, welche in der Regel Referenzen auf andere Raumbezüge in Form von Schlüsselwerten enthalten. Diese sind:AdressID (AdressID, INT)Hausnummer ohne Zusatz (HNR, INT)Hausnummernzusatz (HNR_Zusatz, Text, 1 Zeichen)Straßenschlüssel (STR_NR Text, 5 Ziffern))Straßenname (STR_Name, Text, 100 Zeichen))Postleitzahl (PLZ, Text, 5 Ziffern)Bezirksname (BEZ_Name, Text, 50 Zeichen)Bezirksschlüssel ( BEZ_Nr, Text, 2 Ziffern)Ortsteilname (ORT_Name, Text, 50 Zeichen)Ortsteilschlüssel (ORT_Nr, Text, 4 Ziffern)LOR-Name (PLR_Name, Text, 50 Zeichen)LOR-Schlüssel ( PLR_Nr, Text, 8 Ziffern)1 - 2 = Bezirksschlüssel3 - 4 = Schlüssel Prognoseraum5 - 6 = Schlüssel Bezirksregion7 - 8 = Schlüssel PlanungsraumSchlüssel Statistischer Block (BLK, Text, 6 Ziffern), die ersten 3 Ziffern entsprechen dem Schlüssel des statistischen GebietsAufnahmedatum der Adresse (ADR_Datum, date)Aufnahmedatum der Straße (STR_Datum, date)Qualität der Adresse (Qualitaet, Text, 25 Zeichen)Qualität A = Hauskoordinate im Gebäudeumring (1000)Qualität B = Hauskoordinate innerhalb Flurstück (2000)RBS = Datensatz im Regionalen BezugssystemAdresstyp (Typ, Text, 25 Zeichen)AdressePlatz/Straße ohne HNR – Mittelpunkt von Straße oder Platz, denen keine Adresse zugeordnet istDatensatznummer HKO (gml_id, Text, 100 Zeichen)Für Straßen und Plätze ohne Hausnummer wurde der Mittelpunkt des Verkehrsobjektes generiert. Es handelt sich um keine Adresse. Bitte beachten Sie, dass sich die Regionalisierung (Postleitzahlengebiet, Bezirk etc.) ausschließlich auf den generierten Mittelpunkt bezieht. Die Zuordnungen geben keine Auskunft darüber, ob sich das Verkehrsobjekt auch zusätzlich über andere Gebiete erstreckt.Quelle: Geoportal BerlinVerarbeitungsprozesse: WFS "Adressen Berlin" wurde in ArcGIS Pro importiert, nach Web Mercator projiziert und als Web Layer in ArcGIS Online veröffentlicht.

  6. a

    Migrate Content to Arcgis Pro

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Dec 14, 2018
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    State of Delaware (2018). Migrate Content to Arcgis Pro [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/documents/60158896c934462da05e9a8b8a67d742
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    Dataset updated
    Dec 14, 2018
    Dataset authored and provided by
    State of Delaware
    Description

    An ArcMap map package is a portable file that contains a map document (.mxd) as well as the data referenced by the map layers. (ArcGIS Pro map packages are similar but have different file extensions.) Even if you're not an ArcMap user, you may need at some point to bring a map document or map package into ArcGIS Pro. You don't need ArcMap software to do this tutorial.Estimated time: 20 minutesSoftware requirements: ArcGIS Pro

  7. Gemarkungen - Bayern

    • jacs-esri-training.opendata.arcgis.com
    • opendata-esridech.hub.arcgis.com
    • +6more
    Updated Jan 12, 2023
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    Esri Deutschland (2023). Gemarkungen - Bayern [Dataset]. https://jacs-esri-training.opendata.arcgis.com/datasets/esri-de-content::gemarkungen-bayern
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    Dataset updated
    Jan 12, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Deutschland
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Die Grenzverläufe der Gemarkungen (Katasterbezirke) werden aus den Daten des Amtlichen Liegenschaftskatasterinformationssystems (ALKIS®) abgeleitet und sind somit parzellenscharf.Quelle: OpenData Portal der Bayerischen VermessungsverwaltungVerarbeitungsprozesse: SHP Datei in ETRS89 / UTM zone 32N wurde in ArcGIS Pro nach WebMercator projiziert und als Feature Service in ArcGIS Online veröffentlicht.

  8. Ortsteile - Berlin

    • gis-team-qualitas-esri-training.opendata.arcgis.com
    Updated Feb 19, 2018
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    Esri Deutschland (2018). Ortsteile - Berlin [Dataset]. https://gis-team-qualitas-esri-training.opendata.arcgis.com/datasets/esri-de-content::ortsteile-berlin
    Explore at:
    Dataset updated
    Feb 19, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Deutschland
    Area covered
    Description

    Daten des amtlichen Liegenschaftskatsterinformationssystems (ALKIS) - Ortsteile von Berlin.Quelle: Geoportal BerlinVerarbeitungsprozesse: WFS wurde in ArcGIS Pro als Feature Layer importiert, nach Web Mercator projiziert und als Web Layer in ArcGIS Online veröffentlicht.

  9. Gebäude - Bayern

    • inspire-open-data-esri-training.opendata.arcgis.com
    • portal-esri-de.opendata.arcgis.com
    • +2more
    Updated Jan 12, 2023
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    Esri Deutschland (2023). Gebäude - Bayern [Dataset]. https://inspire-open-data-esri-training.opendata.arcgis.com/items/00ffdc0a483648989c72c84dfa92a09e
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    Dataset updated
    Jan 12, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Deutschland
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Bei den Hausumringen handelt es sich um die georeferenzierten Umringpolygone (Vektordaten) der Gebäudegrundrisse des Liegenschaftskatasters.Quelle: OpenData Portal der Bayerischen VermessungsverwaltungVerarbeitungsprozesse: SHP Datei in ETRS89 / UTM zone 32N wurde in ArcGIS Pro nach WebMercator projiziert und als Feature Service in ArcGIS Online veröffentlicht.

  10. LOR Bezirksregionen - Berlin

    • gis-team-qualitas-esri-training.opendata.arcgis.com
    • inspire-open-data-esri-training.opendata.arcgis.com
    • +4more
    Updated Jul 12, 2018
    + more versions
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    Esri Deutschland (2018). LOR Bezirksregionen - Berlin [Dataset]. https://gis-team-qualitas-esri-training.opendata.arcgis.com/datasets/esri-de-content::lor-bezirksregionen-berlin
    Explore at:
    Dataset updated
    Jul 12, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Deutschland
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Description

    Dargestellt werden die 140 Bezirksregionen als Ebene der lebensweltlich orientierten Räume (LOR), auf die sich die Verwaltungsorganisationen der Bezirksämter ausrichten. Durchschnittlich umfaßt eine Bezirksregion 25.000 Einwohner.Quelle: Geoportal BerlinVerarbeitungsprozesse: WFS "Lebensweltlich orientierte Räume (LOR) - Bezirksregionen" wurde in ArcGIS Pro importiert, nach Web Mercator projiziert und als Web Layer in ArcGIS Online veröffentlicht.

  11. Kleingartenbestand - Berlin

    • opendataportal-esri-konferenz-esri-training.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +5more
    Updated Dec 5, 2018
    + more versions
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    Esri Deutschland (2018). Kleingartenbestand - Berlin [Dataset]. https://opendataportal-esri-konferenz-esri-training.opendata.arcgis.com/datasets/esri-de-content::kleingartenbestand-berlin
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    Dataset updated
    Dec 5, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Deutschland
    Area covered
    Description

    Darstellung der in Berlin gelegenen Kleingartenanlagen.Meldung des Kleingartenbestandes durch die bezirklichen Natur- und Grünflächenämter. Datengrundlage: GRIS Berlin (Grünflächeninformations- und -managementsystem)Quelle: Geoportal BerlinVerarbeitungsprozesse: WFS Datei wurde in ArcGIS Pro importiert, nach WebMercator WGS84 projiziert und als Feature Service in ArcGIS Online veröffentlicht.

  12. Lichtsignalanlagen - Berlin

    • gis-team-qualitas-esri-training.opendata.arcgis.com
    • utilities-esri-de-content.hub.arcgis.com
    • +6more
    Updated Sep 23, 2019
    + more versions
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    Esri Deutschland (2019). Lichtsignalanlagen - Berlin [Dataset]. https://gis-team-qualitas-esri-training.opendata.arcgis.com/datasets/esri-de-content::lichtsignalanlagen-berlin
    Explore at:
    Dataset updated
    Sep 23, 2019
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Deutschland
    Area covered
    Description

    Lage und Bezeichnung der Lichtsignalanlagen in Berlin.Datengrundlage: Fachsystem der Verkehrslenkung Berlin für LichtsignalanlagenQuelle: Geoportal BerlinVerarbeitungsprozesse: WFS wurde in ArcGIS Pro importiert, nach Web Mercator projiziert und als Web Layer in ArcGIS Online veröffentlicht.

  13. Mountainbikewege - Bayern

    • bayern-twin-esridech.hub.arcgis.com
    • portal-esri-de.opendata.arcgis.com
    • +7more
    Updated Apr 5, 2018
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    Esri Deutschland (2018). Mountainbikewege - Bayern [Dataset]. https://bayern-twin-esridech.hub.arcgis.com/items/6c72808d036f4b99b9caa092ccc7ba7d
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    Dataset updated
    Apr 5, 2018
    Dataset provided by
    ESRIhttp://esri.com/
    Authors
    Esri Deutschland
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Alle örtlich beschilderten Mountainbikewege in Bayern. Die Bereitstellung erfolgt für die Landesfläche Bayerns, d. h. überregionale Mountainbikewege enden an der Bayerischen Landesgrenze.QuelleOpenData Portal der Bayerischen StaatsregierungVerarbeitungsprozesseSHP Datei in ETRS89 / UTM zone 32N wurde in ArcGIS Pro nach WebMercator projiziert und als Feature Service in ArcGIS Online veröffentlicht.

  14. Gewerbedaten - Berlin

    • hub.arcgis.com
    • opendata-esridech.hub.arcgis.com
    • +4more
    Updated Jul 24, 2023
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    Esri Deutschland (2023). Gewerbedaten - Berlin [Dataset]. https://hub.arcgis.com/maps/c4d715d7877e4a6b9cf3c4e6fbce0f85_0/explore
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    Dataset updated
    Jul 24, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Deutschland
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Der Datensatz beinhaltet die geografische Verteilung der gewerbetreibenden Unternehmen des Landes Berlin, nach Branche, Beschäftigtenklasse, Alter des Unternehmens und Rechtsform. Die Daten stellen die von der IHK erfassten, aktiven Gewerbetreibenden Berlins (Hauptsitze und Filialen) dar. Übersicht der Wirtschaftszweige und zugehöriger WahlgruppenQuelle: Berlin Open DataVerarbeitungsprozess: CSV-Tabelle wurde in ArcGIS Pro anhand der XY-Werte nach als Punkte-Feature-Klasse transformiert, nach Web Mercator projiziert und als Web Layer in ArcGIS Online veröffentlicht.

  15. Fluren - Sachsen-Anhalt

    • opendataportal-esri-konferenz-esri-training.opendata.arcgis.com
    • hub.arcgis.com
    • +4more
    Updated Apr 12, 2019
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    Esri Deutschland (2019). Fluren - Sachsen-Anhalt [Dataset]. https://opendataportal-esri-konferenz-esri-training.opendata.arcgis.com/datasets/esri-de-content::fluren-sachsen-anhalt
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    Dataset updated
    Apr 12, 2019
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Deutschland
    Area covered
    Description

    Die Flurgrenzen des Liegenschaftskatasters haben folgende Attribute:• GmkNr – Gemarkungsschlüssel• Gemarkung – langschriftlicher Gemarkungsname• Flur – Nummer der Flur• KNr – Nummer des Landkreises• Kreis – langschriftlicher Kreisname• GmdNr – Gemeindeschlüssel• Gemeinde – langschriftlicher Gemeindename• Stand – Aktualitätsstand Quelle: Kostenfreie Geobasisdaten des LVermGeo LSAVerarbeitungsprozess: Gezippte SHP Dateien in ETRS89_UTM32 wurden in ArcGIS Pro zusammengeführt, nach WebMercator projiziert und als Feature Service in ArcGIS Online veröffentlicht.

  16. nrw gew02 f

    • opendataportal-esri-konferenz-esri-training.opendata.arcgis.com
    Updated Nov 24, 2021
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    Esri Deutschland (2021). nrw gew02 f [Dataset]. https://opendataportal-esri-konferenz-esri-training.opendata.arcgis.com/datasets/esri-de-content::nrw-gew02-f
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    Dataset updated
    Nov 24, 2021
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Deutschland
    Area covered
    Description

    Das Basis-DLM beschreibt die Landschaft in Form von topographischen Objekten und stellt einen präsentationsneutralen, objektbasierten Vektordatenbestand dar.Quelle: Geobasis NRWVerarbeitungsprozesse: SHP Dateien wurden in ArcGIS Pro nach WebMercator projiziert und als Feature Service in ArcGIS Online veröffentlicht.

  17. a

    Introduction to R Scripting with ArcGIS

    • edu.hub.arcgis.com
    Updated Jan 18, 2025
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    Education and Research (2025). Introduction to R Scripting with ArcGIS [Dataset]. https://edu.hub.arcgis.com/documents/baec6865ffbc4c1c869a594b9cad8bc0
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    Dataset updated
    Jan 18, 2025
    Dataset authored and provided by
    Education and Research
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    This resource was created by Esri Canada Education and Research. To browse our full collection of higher-education learning resources, please visit https://hed.esri.ca/resourcefinder/.This Tutorial consists of four tutorials that deal with integrating the statistical programming language R with ArcGIS for Desktop. Several concepts are covered which include configuring ArcGIS with R, writing basic R scripts, writing R scripts that work with ArcGIS data, and constructing R Tools for use within ArcGIS Pro. It is recommended that the tutorials are completed in sequential order. Each of the four tutorials (as well as a version of this document), can viewed directly from your Web browser by following the links below. However, you must obtain a complete copy of the tutorial files by downloading the latest release (or by cloning the tutorial repository on GitHub) if you wish to follow the tutorials interactively using ArcGIS and R software, along with pre-configured sample data.To download the tutorial documents and datasets, click the Open button to the top right. This will automatically download a ZIP file containing all files and data required.You can also clone the tutorial documents and datasets for this GitHub repo: https://github.com/highered-esricanada/r-arcgis-tutorials.gitSoftware & Solutions Used: ArcGIS Pro 3.4 Internet browser (e.g., Mozilla Firefox, Google Chrome, Safari) R Statistical Computing Language – version 4.3.3 R-ArcGIS Bindings – version 1.0.1.311RStudio Desktop – version 2024.09.0+375Time to Complete: 2.5 h (excludes installation time)File Size: 115 MBDate Created: November 2017Last Updated: December 2024

  18. Data from: Switching to ArcGIS Pro from ArcMap

    • dados-edu-pt.hub.arcgis.com
    Updated Aug 14, 2020
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    Esri Portugal - Educação (2020). Switching to ArcGIS Pro from ArcMap [Dataset]. https://dados-edu-pt.hub.arcgis.com/datasets/switching-to-arcgis-pro-from-arcmap
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    Dataset updated
    Aug 14, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Portugal - Educação
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Description

    The arrival of ArcGIS Pro has brought a challenge to ArcMap users. The new software is sufficiently different in architecture and layout that switching from the old to the new is not a simple process. In some ways, Pro is harder to learn for ArcMap users than for new GIS users, because some workflows have to be unlearned, or at least heavily modified. Current ArcMap users are pressed for time, trying to learn the new software while still completing their daily tasks, so a book that teaches Pro from the start is not an efficient method.Switching to ArcGIS Pro from ArcMap aims to quickly transition ArcMap users to ArcGIS Pro. Rather than teaching Pro from the start, as for a novice user, this book focuses on how Pro is different from ArcMap. Covering the most common and important workflows required for most GIS work, it leverages the user’s prior experience to enable a more rapid adjustment to Pro.AUDIENCEProfessional and scholarly; College/higher education; General/trade.AUTHOR BIOMaribeth H. Price, PhD, South Dakota School of Mines and Technology, has been using Esri products since 1991, teaching college GIS since 1995 and writing textbooks utilizing Esri’s software since 2001. She has extensive familiarity with both ArcMap/ArcCatalog and Pro, both as a user and in the classroom, as well as long experience writing about GIS concepts and developing software tutorials. She teaches GIS workshops, having offered more than 100 workshops to over 1,200 participants since 2000.Pub Date: Print: 2/14/2019 Digital: 1/28/2019 Format: PaperbackISBN: Print: 9781589485440 Digital: 9781589485457 Trim: 8 x 10 in.Price: Print: $49.99 USD Digital: $49.99 USD Pages: 172Table of ContentsPreface1 Contemplating the switch to ArcGIS ProBackgroundSystem requirementsLicensingCapabilities of ArcGIS ProWhen should I switch?Time to exploreObjective 1.1: Downloading the data for these exercisesObjective 1.2: Starting ArcGIS Pro, signing in, creating a project, and exploring the interfaceObjective 1.3: Accessing maps and data from ArcGIS OnlineObjective 1.4: Arranging the windows and panesObjective 1.5: Accessing the helpObjective 1.6: Importing a map document2 Unpacking the GUIBackgroundThe ribbon and tabsPanesViewsTime to exploreObjective 2.1: Getting familiar with the Contents paneObjective 2.2: Learning to work with objects and tabsObjective 2.3: Exploring the Catalog pane3 The projectBackgroundWhat is a project?Items stored in a projectPaths in projectsRenaming projectsTime to exploreObjective 3.1: Exploring different elements of a projectObjective 3.2: Accessing properties of projects, maps, and other items4 Navigating and exploring mapsBackgroundExploring maps2D and 3D navigationTime to exploreObjective 4.1: Learning to use the Map toolsObjective 4.2: Exploring 3D scenes and linking views5 Symbolizing mapsBackgroundAccessing the symbol settings for layersAccessing the labeling propertiesSymbolizing rastersTime to exploreObjective 5.1: Modifying single symbolsObjective 5.2: Creating maps from attributesObjective 5.3: Creating labelsObjective 5.4: Managing labelsObjective 5.5: Symbolizing rasters6 GeoprocessingBackgroundWhat’s differentAnalysis buttons and toolsTool licensingTime to exploreObjective 6.1: Getting familiar with the geoprocessing interfaceObjective 6.2: Performing interactive selectionsObjective 6.3: Performing selections based on attributesObjective 6.4: Performing selections based on locationObjective 6.5: Practicing geoprocessing7 TablesBackgroundGeneral table characteristicsJoining and relating tablesMaking chartsTime to exploreObjective 7.1: Managing table viewsObjective 7.2: Creating and managing properties of a chartObjective 7.3: Calculating statistics for tablesObjective 7.4: Calculating and editing in tables8 LayoutsBackgroundLayouts and map framesLayout editing proceduresImporting map documents and templatesTime to exploreObjective 8.1: Creating the maps for the layoutObjective 8.2: Setting up a layout page with map framesObjective 8.3: Setting map frame extent and scaleObjective 8.4: Formatting the map frameObjective 8.5: Creating and formatting map elementsObjective 8.6: Fine-tuning the legendObjective 8.7: Accessing and copying layouts9 Managing dataBackgroundData modelsManaging the geodatabase schemaCreating domainsManaging data from diverse sourcesProject longevityManaging shared data for work groupsTime to exploreObjective 9.1: Creating a project and exporting data to itObjective 9.2: Creating feature classesObjective 9.3: Creating and managing metadataObjective 9.4: Creating fields and domainsObjective 9.5: Modifying the table schemaObjective 9.6: Sharing data using ArcGIS Online10 EditingBackgroundBasic editing functionsCreating featuresModifying existing featuresCreating and editing annotationTime to exploreObjective 10.1: Understanding the editing tools in ArcGIS ProObjective 10.2: Creating pointsObjective 10.3: Creating linesObjective 10.4: Creating polygonsObjective 10.5: Modifying existing featuresObjective 10.6: Creating an annotation feature classObjective 10.7: Editing annotationObjective 10.8: Creating annotation features11 Moving forwardData sourcesIndex

  19. Radwege - Bayern

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • opendataportal-esri-konferenz-esri-training.opendata.arcgis.com
    • +5more
    Updated Apr 5, 2018
    + more versions
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    Esri Deutschland (2018). Radwege - Bayern [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/4ef82895277c43b1b9ada6d792360f4d
    Explore at:
    Dataset updated
    Apr 5, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Deutschland
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Zu den Radwegen zählen alle örtlich beschilderten Radwege in Bayern. Nicht enthalten sind Radwege im Sinne der Straßenverkehrsordnung (StVO). Die Bereitstellung erfolgt für die Landesfläche Bayerns, d. h. überregionale Radwanderwege enden an der Bayerischen Landesgrenze.Quelle: OpenData Portal der Bayerischen StaatsregierungVerarbeitungsprozesse: SHP Datei in ETRS89 / UTM zone 32N wurde in ArcGIS Pro nach WebMercator projiziert und als Feature Service in ArcGIS Online veröffentlicht.

  20. Adressen - Thüringen

    • opendataportal-esri-konferenz-esri-training.opendata.arcgis.com
    • portal-esri-de.opendata.arcgis.com
    Updated Nov 4, 2021
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    Esri Deutschland (2021). Adressen - Thüringen [Dataset]. https://opendataportal-esri-konferenz-esri-training.opendata.arcgis.com/items/8712b95ce6614837864a761674488b5c
    Explore at:
    Dataset updated
    Nov 4, 2021
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Deutschland
    Area covered
    Description

    Hauskoordinaten auf Grundlage des ALKIS mit Ortsinformationen.Quelle: Datensatz Hauskoordinaten Thüringen von Geoportal ThVerarbeitungsprozesse: TXT Datei in ArcGIS Pro geocodiert, von UTM ETRS89 nach WebMercator WGS84 projiziert und als Feature Service in ArcGIS Online veröffentlicht.

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Esri Portugal - Educação (2020). Getting to Know ArcGIS Pro 2.6 [Dataset]. https://dados-edu-pt.hub.arcgis.com/datasets/getting-to-know-arcgis-pro-2-6
Organization logo

Getting to Know ArcGIS Pro 2.6

Explore at:
Dataset updated
Aug 19, 2020
Dataset provided by
Esrihttp://esri.com/
Authors
Esri Portugal - Educação
License

Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
License information was derived automatically

Description

Continuing the tradition of the best-selling Getting to Know series, Getting to Know ArcGIS Pro 2.6 teaches new and existing GIS users how to get started solving problems using ArcGIS Pro. Using ArcGIS Pro for these tasks allows you to understand complex data with the leading GIS software that many businesses and organizations use every day.Getting to Know ArcGIS Pro 2.6 introduces the basic tools and capabilities of ArcGIS Pro through practical project workflows that demonstrate best practices for productivity. Explore spatial relationships, building a geodatabase, 3D GIS, project presentation, and more. Learn how to navigate ArcGIS Pro and ArcGIS Online by visualizing, querying, creating, editing, analyzing, and presenting geospatial data in both 2D and 3D environments. Using figures to show each step, Getting to Know ArcGIS Pro 2.6 demystifies complicated process like developing a geoprocessing model, using Python to write a script tool, and the creation of space-time cubes. Cartographic techniques for both web and physical maps are included.Each chapter begins with a prompt using a real-world scenario in a different industry to help you explore how ArcGIS Pro can be applied for operational efficiency, analysis, and problem solving. A summary and glossary terms at the end of every chapter help reinforce the lessons and skills learned.Ideal for students, self-learners, and seasoned professionals looking to learn a new GIS product, Getting to Know ArcGIS Pro 2.6 is a broad textbook and desk reference designed to leave users feeling confident in using ArcGIS Pro on their own.AUDIENCEProfessional and scholarly. Higher education.AUTHOR BIOMichael Law is a cartographer and GIS professional with more than a decade of experience. He was a cartographer for Esri, where he developed cartography for books, edited and tested GIS workbooks, and was the editor of the Esri Map Book. He continues to work with GIS software, writing technical documentation, teaching training courses, and designing and optimizing user interfaces.Amy Collins is a writer and editor who has worked with GIS for over 16 years. She was a technical editor for Esri, where she honed her GIS skills and cultivated an interest in designing effective instructional materials. She continues to develop books on GIS education, among other projects.Pub Date: Print: 10/6/2020 Digital: 8/18/2020 ISBN: Print: 9781589486355 Digital: 9781589486362 Price: Print: $84.99 USD Digital: $84.99 USD Pages: 420 Trim: 7.5 x 9.25 in.Table of ContentsPrefaceChapter 1 Introducing GISExercise 1a: Explore ArcGIS OnlineChapter 2 A first look at ArcGIS Pro Exercise 2a: Learn some basics Exercise 2b: Go beyond the basics Exercise 2c: Experience 3D GISChapter 3 Exploring geospatial relationshipsExercise 3a: Extract part of a dataset Exercise 3b: Incorporate tabular data Exercise 3c: Calculate data statistics Exercise 3d: Connect spatial datasetsChapter 4 Creating and editing spatial data Exercise 4a: Build a geodatabase Exercise 4b: Create features Exercise 4c: Modify featuresChapter 5 Facilitating workflows Exercise 5a: Manage a repeatable workflow using tasks Exercise 5b: Create a geoprocessing model Exercise 5c: Run a Python command and script toolChapter 6 Collaborative mapping Exercise 6a: Prepare a database for data collection Exercise 6b: Prepare a map for data collection Exercise 6c: Collect data using ArcGIS CollectorChapter 7 Geoenabling your projectExercise 7a: Prepare project data Exercise 7b: Geocode location data Exercise 7c: Use geoprocessing tools to analyze vector dataChapter 8 Analyzing spatial and temporal patternsExercise 8a: Create a kernel density map Exercise 8b: Perform a hot spot analysis Exercise 8c: Explore the results in 3D Exercise 8d: Animate the dataChapter 9 Determining suitability Exercise 9a: Prepare project data Exercise 9b: Derive new surfaces Exercise 9c: Create a weighted suitability modelChapter 10 Presenting your project Exercise 10a: Apply detailed symbology Exercise 10b: Label features Exercise 10c: Create a page layout Exercise 10d: Share your projectAppendix Image and data source credits Data license agreement GlossaryGetting to Know ArcGIS Pro 2.6 | Official Trailer | 2020-08-10 | 00:57

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