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Нажмите для просмотра политики доступаПерейти к содержаниюOracle’s spatial database is an integrated part of Oracle's converged database, enabling developers, analysts, and geographic information system (GIS) professionals to manage geospatial data, perform analysis, add location-based services to applications, and visualize through interactive maps. How NIBIO is fostering more sustainable forests using innovative sensors, Oracle Cloud Infrastructure, and AI (3:20)Why use Oracle Spatial?Bring the power of location intelligence to decision-makingEverything happens somewhere, so add location-based services and intelligence to your decision-making for a competitive advantage. Business analysts can visualize spatial data and discover patterns with easy-to-use, low-code tools to run analyses and create maps, while developers can simplify integration of spatial data in their apps.Comprehensive support for geospatial use casesHandle advanced requirements for spatial modeling and spatial data management, including vector, raster, LiDAR, and network models. Support demanding and complex geospatial use cases at scale as well as geospatial use cases from transportation, government, utilities, telecommunications, and other industries.Enterprise-scale spatial processing and analyticsBenefit from scalability, high availability, security, and other converged features of Oracle Database when running spatial analytics and eliminate a need for separate spatial databases. Oracle Spatial is tightly integrated with Oracle Analytics and APEX, as well as third-party GIS tools. Leverage additional automation through Oracle Autonomous Database and extreme processing capabilities through Oracle Exadata.Oracle Spatial key features2D spatial dataStore and query 2D spatial geometries in Oracle Database, such as points of interest, streets, administrative boundaries. Perform spatial database queries based on proximity (How far is it?) and containment (Is it inside a region?). Hundreds of functions and operations are provided to filter data, measure distance relationships, combine and/or transform geometries, and take advantage of spatial indexing for faster query performance.Learn more about 2D spatial data3D LiDAR point clouds and rasterManage and analyze high-volume 3D LiDAR and point cloud data representing city models and detailed digital twins for enterprise GIS and smart city applications. Store and process raster data, such as satellite imagery, orthophotos, and gridded data, with powerful analytics and on-the-fly image processing.Learn more about 3D LiDAR point clouds and rasterMap visualizationTurn large volumes of data into interactive, fast, and flexible maps with vector tiles. Summarize large volumes of point data for easy viewing with H3 (hexagonal hierarchical geospatial indexing), then create compelling visuals. Use SQL, WebGL and HTML5 JavaScript APIs to add highly interactive maps and spatial analysis into business applications.Learn more about map visualizationGeocoding, routing, and networksEnrich existing data to build location intelligence in applications by generating latitude/longitude geocoding from address, generating routes (driving distances, times, directions, and so on) as well as modeling physical and logical networks and real-world features with a geographic component.Learn more about networksLearn more about geocoding and routingSpatial AIDetect location patterns and

Click to view our Accessibility PolicySkip to contentOracle’s spatial database is an integrated part of Oracle's converged database, enabling developers, analysts, and geographic information system (GIS) professionals to manage geospatial data, perform analysis, add location-based services to applications, and visualize through interactive maps. How NIBIO is fostering more sustainable forests using innovative sensors, Oracle Cloud Infrastructure, and AI (3:20)Why use Oracle Spatial?Bring the power of location intelligence to decision-makingEverything happens somewhere, so add location-based services and intelligence to your decision-making for a competitive advantage. Business analysts can visualize spatial data and discover patterns with easy-to-use, low-code tools to run analyses and create maps, while developers can simplify integration of spatial data in their apps.Comprehensive support for geospatial use casesHandle advanced requirements for spatial modeling and spatial data management, including vector, raster, LiDAR, and network models. Support demanding and complex geospatial use cases at scale as well as geospatial use cases from transportation, government, utilities, telecommunications, and other industries.Enterprise-scale spatial processing and analyticsBenefit from scalability, high availability, security, and other converged features of Oracle Database when running spatial analytics and eliminate a need for separate spatial databases. Oracle Spatial is tightly integrated with Oracle Analytics and APEX, as well as third-party GIS tools. Leverage additional automation through Oracle Autonomous Database and extreme processing capabilities through Oracle Exadata.Oracle Spatial key features2D spatial dataStore and query 2D spatial geometries in Oracle Database, such as points of interest, streets, administrative boundaries. Perform spatial database queries based on proximity (How far is it?) and containment (Is it inside a region?). Hundreds of functions and operations are provided to filter data, measure distance relationships, combine and/or transform geometries, and take advantage of spatial indexing for faster query performance.Learn more about 2D spatial data3D LiDAR point clouds and rasterManage and analyze high-volume 3D LiDAR and point cloud

Smart GIS Software Developed by Smart GIS CompanyMohamed Elsayed ElshayalSalsabeel Mohamed Elshayal and Yaseen Mohamed Elshayal1) Map editor, 2) Surface analysis, 3) GPS tracking, 4) Downloading Google map, 5) Converting GIS shape files to Google map web GIS and mobile GIS GPS applicationsFirst African Arabian Egyptian GIS and GPS SoftwareCairo – Egypt2002 - 2017Copyright 2002 – 2017Free for noncommercial useThis Software is Independent of any Commercial Software Package, or Code LibraryThis Software is built by Smart GIS company and Not Supported by any Organization Smart GIS Course Syllabus1) INTRODUCTION A) Q. What is a Geographic Information System? B) The Difference between Raster and Vector Maps C) The Relation between Vector Spatial Location and Attribute Data Base D) GIS Shape File types 2D & 3D (Point – Polyline – Polygon) 2) COORDINATES SYSTEMS A) Lon and Lat Geographic Coordinate System B) Universal Transverse Mercator Coordinate System UTM C) Converting Coordinates Between Lon Lat and UTM D) Map Projection 3) SPATIAL DIGITIZING AND EDITING A) Building New Shape File Spatial and Data Structure B) Digitizing Spatial Shape File ( Feature – Part – Vertex ) C) Editing Shape File ( Feature – Part – Vertex ) D) Move Settings E) Map View F) Converting between Shape File types 2D & 3D (Point – Polyline – Polygon) G) Layer Properties 4) ATTRIBUTE DATA TABLE A) Modifying Dbf File Data Structure B) Editing Data Table C) Running VB script in Data Table Fields D) Editing One Feature (Record) 5) GIS ANALYSIS AND SELECTION A) Spatial Location Analysis and Selection B) Attribute Data Base Analysis and Selection C) Nested Attribute Data Base Analysis and Selection D) Spatial Features Snapping and Dividing E) Shortest Path Analysis 6) SATELLITES IMAGES A) Google Earth Settings B) Download From Google Earth C) Save Images 7) SURFACE ANALYSIS A) Downloading

Spatial analysis allows you to solve complex location-oriented problems, explore and understand your data from a geographic perspective, determine relationships, detect and quantify patterns, assess trends, and make predictions and decisions. Spatial analysis goes beyond mapping and allows you to study the characteristics of places and the relationships among them. Spatial analysis lends new perspectives to your decision-making.Using spatial analysis, you can combine information from many sources and derive new information by applying a set of spatial operators. This collection of spatial analysis tools allows you to answer complex spatial questions. Statistical analysis can determine whether the patterns that you see are significant. You can analyze various layers to calculate the suitability of a place for a particular activity and, using image analysis, you can detect change over time. These tools allow you to address important questions and decisions that are beyond the scope of simple visual analysis. You can use the analysis and geoprocessing capabilities in ArcGIS Pro to answer many spatial questions and perform spatial analysis. Spatial analysis in ArcGIS Pro is extended from 2D to 3D and through time.A typical spatial analysis workflow involves the following:Frame the question you want to answer.Find and prepare the data using data engineering to ready it for analysis.Explore the data on a map and with charts to better understand it.Perform the spatial analysis, using the appropriate tool or set of tools to answer the question.Repeat or automate the analysis using modeling and scripting.Share the results to communicate findings or allow others to repeat the process. Data engineeringUsing data engineering, you can explore, visualize, clean, andprepare data. The data engineering process is a common first step for many spatial analysis and mapping workflows. TheData Engineering view and ribbon can help you better understand thedata and prepare it for GIS workflows.Learn more about data engineeringVisualization with charts Visualizing data using charts can uncover data patterns, trends, relationships, and structures that may otherwise be difficult to see as raw numbers in a table. Interpret the results of an analysis and communicate the findings with charts.Learn more about chartsSpatial analysis Using spatial analysis capabilities in ArcGIS Pro, you can perform the following types of operations on geographic data: Extract and overlay data.Add and calculate attribute fields.Summarize and aggregate data.Calculate statistics.Model relationships and discover patterns.Learn more about geoprocessingLearn more about raster functionsAnalysis extensionsArcGIS Pro includes the following analysis extensions to help you answer specialized spatial questions:3D

Make better predictions with geospatial machine learning algorithms. Enhance your workflows with powerful spatial analysis combined with AI. Develop and operationalize geospatial-based predictive models at scale in Python with Oracle Machine Learning Notebooks in Oracle Autonomous Database.Learn more about Spatial AISelf-service mapping with Spatial StudioCreate interactive maps and quickly perform spatial analysis on business data through an easy-to-use, no-code tool with features for business analysts and developers. Visualize, explore, and analyze geospatial data in the cloud or on-premises.Learn more about Spatial StudioOracle developer toolsPopular development tools and frameworksEnterprise security and performancePower large scale spatial workloads with enterprise-level performance using database features, such as partitioning, in-memory, distributed transactions, and sharding as well as Oracle Exadata integration. Reliably secure spatial data with sophisticated, multilevel access control for fine-grained, end-to-end security.Learn more about enterprise-level security and performance Overview of Oracle’s spatial databaseSee how location intelligence data helps build smarter businesses. Get started with spatial—without codingExplore geospatial data and integrate location intelligence into your apps with a no-code mapping tool, Spatial Studio. New built-in geocoding API in Autonomous DatabaseAdding location intelligence to your apps and analytics just got easier with the new geocoding API in Autonomous Database. It converts your address data into geographic coordinates without purchasing separate reference data.Spatial vector tiles and H3 support in Oracle Database 23aiGenerate vector tiles via an in-database function and stream them for scalable, flexible maps within your apps. In addition, create compelling, easy-to-use visuals via hexagonal hierarchical spatial indexing (H3).“With the new Oracle Spatial vector tiles and H3 mapping features, we will be able to create meaningful maps based on large amounts of traffic accident data right from Oracle Database 23ai at super-fast speeds. With vector tiles, we'll be able to display 100s of 1,000s of crashes in just a few seconds. This will enable us to deliver an analysis and reporting engine to make better decisions faster using the best data available, improving and making roadways safer for the public.”Geospatial intelligence use cases and customer stories February 13, 2024Make better Machine Learning predictions with spatial algorithmsDavid Lapp, Senior Principal Product Manager, OracleIncluding spatial algorithms in your machine learning (ML) workflow provides advantages for detecting patterns and predicting outcomes, leading to better decision-making for the business. Discover why incorporating location in your ML model is important and get an overview of an enhancement to Oracle Machine Learning for Python that leverages the native spatial features of Autonomous Database.Featured Oracle Spatial Database blogsView all Spatial resourcesDownloadsDatabasedownloadsSpatial Studio downloadsSpatial map visualization componentdownloadsSpatial Java API downloadsSpatial features sample code Data download from PartnersOther documentsTechnical brief: Geocoder (PDF)Technical brief: GeoRaster (PDF)Technical brief: Network Data Model(PDF)Technical brief: Optimizing Spatial Performance—Best practices, tips, and tricks (PDF)Free tutorialsOracle University training- Oracle Spatial101Launch a workshop