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Materi Geodatabase Management - Fellowship 2022.pdf

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Materi Geodatabase Management - Fellowship 2022.pdf

  1. 1. Geodata Management in ArcGIS An Nisaa Citra Hasanah – Pachira Eizza Paramitha
  2. 2. Session Highlights • Geospatial Data in ArcGIS • Introduction to ArcGIS Pro • Vector Data Model • Raster Data Model • Geospatial Data Management • Data Management and Visualization in ArcGIS Pro • Hands-on • Assignment
  3. 3. Characteristics of Spatial Data • Representation on a map of real-world features and phenomena. • Can also be any information with a location attached to it, whether on a map or not. • A GIS integrates location and attribute information, storing information about where something is with information about what something is.
  4. 4. How is GIS Data Structured? The spatial component of GIS data allows you to perform many tasks: • Visualize real-world information and analytical output. • Implement analytical functions such as proximity analysis, buffering, and movement. • Select and filter features geographically. • Calculate properties such as length and area.
  5. 5. ArcGIS Data Types Today Cloud storage Enterprise geodatabases ArcGIS Data Store Files Spatiotemporal big data store Imagery Raster Real-time Big data Demographic Living Atlas Utility networks Field 3D Vector & tabular Urban Unstructured Indoor Drone ArcGIS Platform supports your data workflows Third party Cloud
  6. 6. Mining & Exploration Freeport Indonesia Indonesia Utility Management One Map Portal Badan Informasi Geospasial Indonesia Citarum Open Data Indonesia PLN (Perusahaan Listrik Negara) Indonesia Jakarta Satu City of Jakarta Indonesia Tangerang Live City of Tangerang Indonesia Geoportal Pekanbaru City of Pekanbaru Indonesia Bogor Indonesia Boga Peta Banking Bank Muamalat Indonesia) Indonesia Badan Pusat Statistik Indonesia Statistics Indonesia GIS Taru Ministry of Agrarian Affairs and Spatial Planning/National Land Agency - Indonesia Demographic Data Ministry of Home Affairs Indonesia Energy One Map Ministry of Energy and Mineral Resources Indonesia Forestry Geoportal Ministry ofEnvironment and Forestry Indonesia Indihome Indonesia Sales Information System Portal, Open Data and Citizen Engagement
  7. 7. Esri Indonesia’s Oil and Gas Solution Catalogue Real-time Assets and Productivity Monitoring System Real-time Fleet Movement Tracking and Monitoring Integration of G&G and GIS Data Comprehensive Landing Page For Data Repository Oil Well Productivity Visualization And Analysis Safety Observation Reporting System GIS-based Common Operating Picture For Oil Spill Response Augmented Reality For Underground Assets Inspection Pipeline Risk Analysis with Business Intelligence Real-time Fieldworker Management System
  8. 8. ArcGIS Pro ArcGIS Desktop (retired soon) ArcGIS Online ArcGIS Enterprise ArcGIS Apps Geo-Enabled Systems ArcGIS for Developers
  9. 9. ArcGIS Pro
  10. 10. ArcGIS Desktop Desktop Web Device Server Online Content and Services Portal ArcMap ArcCatalog ArcScene ArcGlobe ArcGIS Pro
  11. 11. Fusion of Applications ArcMap / ArcCatalog ArcGlobe / ArcScene CityEngine
  12. 12. ArcGIS Pro Features • 64-bit application (will not run on 32-bit systems) • Modern interface for easier navigation • Context-sensitive interface • Multiple views and multiple layouts in the same project • Improved ArcGIS Help • Import capability for MXD, SXD, and 3DD files • Fast processing (8 GB of RAM is recommended) • Availability of all key features in 2D and 3D • Combined 2D and 3D capability in a single project • Full geoprocessing and extension functionality • Tasks (which guide users through complex workflows) • Automatic updates
  13. 13. Continuous phenomena and discrete features • Discrete data represents real-world features that have well-defined boundaries. A discrete feature is distinct from the other features around it. • Continuous data represents real-world phenomena that do not have well-defined boundaries
  14. 14. Vector geometry • The vector data model represents discrete objects on the surface of the earth, such as streetlights, roads, and buildings, as point, line, and polygon (area) features, respectively.
  15. 15. Raster Data Model • In its simplest form, a raster consists of a matrix of cells (or pixels) organized into rows and columns (or a grid) where each cell contains a value representing information, such as temperature. • Rasters are digital aerial photographs, imagery from satellites, digital pictures, or even scanned maps.
  16. 16. Raster Data Types Continuous Raster Discrete Data Imagery Scanned Maps
  17. 17. Raster Attributes
  18. 18. Geospatial Data Management
  19. 19. Organizing your data
  20. 20. Feature data type • Shapefile • Feature Class Geodatabase
  21. 21. Associate Nongeographic Data with Geographic Data Supplementa l data Central data storage Spatial search Redundancy Additional data Central data storage Spatial search Performance Example: Adding media files with attachments
  22. 22. Geodatabase • The geodatabase (a database or file structure used primarily to store, query, and manipulate spatial data) is a powerful data model for storing and managing your GIS data in one place. • Through the geodatabase, you can import different datasets from various sources and use them in your GIS analysis.
  23. 23. Geodatabase Elements Primary dataset types: • Tables : collection of rows, each containing the same fields. • Feature Classes : tables with a shape field containing point, line, or polygon geometries for geographic features. Each row is a feature • Raster Datasets : contains rasters which represent continuous geographic phenomena
  24. 24. Compare Different Geodatabase Types Scenario Type of geodatabase Single user with small project Multiple users with an ongoing large-scale project Single user with large datasets and sharing with entire organization Multiple users with small projects and only one editor at a time File geodatabase Enterprise geodatabase
  25. 25. Maintaining Data Integrity Archiving Data Topology Subtypes Domains
  26. 26. Subtypes and Domains • Subtypes: a set of features that share the same attributes. • Domains: used to describe the values accepted in a field.
  27. 27. Why use a topology? • In geodatabases, topology is the arrangement that defines how point, line, and polygon features share coincident geometry. • For example, street centerlines and census blocks share common geometry, and adjacent soil polygons share their common boundaries. Areas share boundaries Lines share endpoints Lines share segments Area overlap areas Points fall within polygons Points share vertices with lines
  28. 28. Mosaic Dataset Mosaic datasets are useful for the following actions: • Managing, querying, and visualizing large collections of raster data, including multidimensional, overlapping, and temporal data. • Controlling the display or the ordering of rasters. • Performing on-the-fly processing, which occurs as the rasters are accessed; the source pixels are not altered or converted. Collections of rasters Mosaic Dataset Viewed as one dataset
  29. 29. Why use a mosaic? A mosaic dataset reads all the metadata from the rasters and imagery. It enables the following capabilities: • Defining extra metadata • Defining image-processing functions to be applied to the imagery when the data is accessed • On-the-fly processing that applies all required processing to the imagery as it is accessed, removing the requirement to pre-process imagery • Dynamic mosaicking that allows overlapping imagery to be merged and fused
  30. 30. Mosaic Dataset In ArcGIS Pro, a mosaic dataset becomes a mosaic layer. In the Contents pane, it displays as a special group layer of at least three layers: • A Boundary layer that displays the boundary of the mosaic dataset, • A Footprint layer that displays the footprints for each raster within the mosaic dataset, and • An Image layer that controls the rendering of the mosaicked image.
  31. 31. Advantages of using a geodatabase Advantage Advantages Characteristic Centralized repository All data is stored in the same database, as opposed to in many separate files. • Feature classes • Table Scalable data model As your GIS needs increase, you can migrate data from one geodatabase to an upgraded format that allows for more users and editors. • File geodatabase • Enterprise geodatabase Shareable data models You can share data models to be re-used in other projects • Feature datasets • Geodatabase schema template Increased data integrity You can create spatial and attribute behaviors to facilitate editing, help eliminate data entry errors, and maintain spatial and attribute relationships between your data. • Subtypes • Domains • Topology Support for imagery Mosaic datasets in the geodatabase allow you to manage multiple images as one. • Mosaic dataset
  32. 32. Data Management and Visualization in ArcGIS Pro
  33. 33. Import ArcMap Document to ArcGIS Pro • Directly import ArcMap document - *.mxd or *.mpk files • Clone the project template • On the ribbon, click the Insert tab. In the Project group, click Import Map
  34. 34. Manage data to Geodatabase • Export from Content pane - Right Click on layer > Data > Export Feature • Using Geoprocessing - Analysis > Tools > Conversion Tools > To Geodatabase > Feature class to Feature class
  35. 35. • 2D and 3D editing • Simplified edit sessions • Edit shapefiles • Edit file & enterprise GDBs • Group templates • GDB & Map topology • CAD like editing experience Editing
  36. 36. Types of layer symbology Graduated colors Default symbology Unique values
  37. 37. Types of layer symbology Default symbology Graduated symbols Heat map
  38. 38. Types of selection queries Attribute queries ZONE_DESC Is Equal To Residential
  39. 39. Types of selection queries Spatial queries Select all streams that intersect urban areas
  40. 40. Displaying features at different scales
  41. 41. Symbol classes Smallest scale Largest scale 1:20,000,000 1:10,000,000 1:2,000,000 City Town Village Visible Scale Ranges
  42. 42. Create Feature From XY Table X-coordinate Y-coordinate 1360450.920098 415574.238657 1361269.332175 414898.057266 1364029.323702 409529.628699
  43. 43. Storage Type Infrastructure Typical Uses Common Data format Key ArcGIS data options available today • Multi-user editing (versioning) • Topology, attribute rules, etc. • Registered data store • Utility network, parcel mgmt • Feature class • Mosaic dataset • Parcel fabric Enterprise Geodatabase • RDBMS • Often managed by IT/DBA • Can be large scale Hosted layers • Relational (feature) • Tile Cache (scene) • Spatiotemporal big data store (real-time) • Accessed as layer item in the Enterprise portal • ArcGIS Enterprise component • Supported three types • Often on dedicate host ArcGIS Data Store • Imagery/raster store • Map & Image cache folders • ArcGIS Data Store backup • Standard file data formats • Feature class/Query layer • CRF (cloud raster format) • Cache raster format • IaaS → AWS & Azure • DbaaS → Azure SQL database • Amazon → PostgreSQL RDS Cloud Storage • Input to big data GeoAnalytics • Shapefile, delimited text • ORC (optimized row col) • Parquet • Hadoop • Hive Big Data Storage • Local OS folders • Often on a network file share Files/Folders • Shapefile, CSV, txt • File geodatabase • Raster/imagery • Local data for ArcGIS Pro • Registered data store • Project packages
  44. 44. Geodata Management Hands-on