Getting It Done with limited staff, time and budget.
This slide show shares a process of developing a GIS plan and framework, shows tools to track and implement the plan, and shows examples of how the GIS plan is directly tied with City initiatives and budget.
ArcGIS 10.1 will introduce many new capabilities across online, desktop, server, mobile, and developer platforms. Key themes include advances in 3D GIS, image integration/exploitation, Lidar support, improved sharing of maps/data/tools, web and mobile mapping, and initiatives to organize industry solutions and best practices. Developers will benefit from new APIs and an embedded runtime to enable geospatial functionality.
Large Volume Map Generation via Grid ComputingJeffrey Stewart
The document describes how Trekk Cross-Media evolved their process for generating large volumes of custom map images from using a single CPU running a single task, to utilizing a grid computing architecture across multiple CPUs. This allowed them to increase map generation from around 500-750 per hour to over 20,000 per hour. They worked with ESRI's ArcWeb Services and the Digipede grid computing platform to build a distributed system that generates map images by assigning tasks across multiple machines in their corporate network.
A very high-level introduction to scaling out wth Hadoop and NoSQL combined with some experiences on my current project. I gave this presentation at the JFall 2009 conference in the Netherlands
The document describes the GIS system for Sabah Al Salem University City. It includes 3 key components:
1) Infrastructure to support the system including servers, databases, software and workstations.
2) Applications such as 3D visualization, asset management, facilities management and vehicle tracking.
3) Users including construction, planning, facilities management and others.
The system provides an integrated geospatial platform to support campus planning, design, operations and maintenance.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Brand identity is the unique set of brand associations that the brand strategist aspires to create or maintain. These associations represent what the brand stands for and imply a promise to customers. A brand's identity includes its moral image, aim, values, and personality that differentiate it. However, a brand's actual image perceived by customers may differ from its intended identity. Identifying any gaps between a brand's identity and image helps strategists align marketing efforts to close those gaps.
Getting It Done with limited staff, time and budget.
This slide show shares a process of developing a GIS plan and framework, shows tools to track and implement the plan, and shows examples of how the GIS plan is directly tied with City initiatives and budget.
ArcGIS 10.1 will introduce many new capabilities across online, desktop, server, mobile, and developer platforms. Key themes include advances in 3D GIS, image integration/exploitation, Lidar support, improved sharing of maps/data/tools, web and mobile mapping, and initiatives to organize industry solutions and best practices. Developers will benefit from new APIs and an embedded runtime to enable geospatial functionality.
Large Volume Map Generation via Grid ComputingJeffrey Stewart
The document describes how Trekk Cross-Media evolved their process for generating large volumes of custom map images from using a single CPU running a single task, to utilizing a grid computing architecture across multiple CPUs. This allowed them to increase map generation from around 500-750 per hour to over 20,000 per hour. They worked with ESRI's ArcWeb Services and the Digipede grid computing platform to build a distributed system that generates map images by assigning tasks across multiple machines in their corporate network.
A very high-level introduction to scaling out wth Hadoop and NoSQL combined with some experiences on my current project. I gave this presentation at the JFall 2009 conference in the Netherlands
The document describes the GIS system for Sabah Al Salem University City. It includes 3 key components:
1) Infrastructure to support the system including servers, databases, software and workstations.
2) Applications such as 3D visualization, asset management, facilities management and vehicle tracking.
3) Users including construction, planning, facilities management and others.
The system provides an integrated geospatial platform to support campus planning, design, operations and maintenance.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Brand identity is the unique set of brand associations that the brand strategist aspires to create or maintain. These associations represent what the brand stands for and imply a promise to customers. A brand's identity includes its moral image, aim, values, and personality that differentiate it. However, a brand's actual image perceived by customers may differ from its intended identity. Identifying any gaps between a brand's identity and image helps strategists align marketing efforts to close those gaps.
This document analyzes Century Plyboards (India) Ltd and recommends buying its stock. It summarizes the company's position as India's largest plywood manufacturer with 25% market share. It also notes that the proposed Goods and Services Tax could benefit organized players like Century by leveling costs between organized and unorganized competitors. Finally, it recommends buying Century stock with a target price of Rs 236, representing a 33% upside.
This is a social media case study of Century Ply which is closer to the consumers in their day to day life and build an emotional bond with them Strengthening the positioning of the tag line!
The document provides details on a repositioning strategy and integrated marketing campaign for The Body Shop brand. The strategy involves narrowing the target audience to 18-28 year old women, focusing on The Body Shop's organizational associations and brand heritage, and promoting vicarious nostalgia. The implementation plan includes repackaging products, training staff, and a two-year IMC campaign utilizing direct marketing, PR, advertising, sales promotions, and personal selling. Progress will be evaluated every six months through brand audits measuring motivation, benefit structures, price elasticity, and an importance performance analysis.
Century Plyboards is India’s leading wood-panel Company. It operates mainly in two segments: plywood and laminates. Plywood brings in ~76% of its revenues, laminates about 18%. Container Freight Stations (CFS) account for the remaining.
The company has six plywood manufacturing plants spread across the length and breadth of India and one in Myanmar. It is among the top-three laminate manufacturers with capacity of 4.8m sheets and it also has two container-freight stations at the Kolkata port.
Over the last 30 years the company has emerged as a dominant player in the decorative plywood industry with more than 25% share of the organised market worth 4,500 crores. Against the plyboard industry growth rate of 12% for the last 6 years, Century Plyboard has recorded 18% CAGR led by market share gains from the unorganised segment.
Century Ply has also established itself as one of the leading laminate brands in India (third-largest manufacturer in India after Greenply and Merino) and its laminate revenue recorded a 15% CAGR over FY09-14.
It’s important to note here that of the total plywood industry (15,000 crores +), the share of organized players is still 30%, though it has increased from 10% a decade back. As is being witnessed in other industries, the share of organized players is expected to inch up further from 30% and if GST is implemented then the gain in market share will be much faster. With strong entry barriers (Govt. licensing as a hedge against de-forestations and difficulty in sourcing raw material) the incumbent organized players like Century will be the key beneficiaries of the shift towards branded products.
In order to sustain the growth momentum, the company recently doubled its laminates capacity to 4.8m sheets and increased the plywood capacity to 210,000 CBM. It has also increased its dealer’s base from 1,106 in FY12 to 1,424 in FY14.
As per the management, they are experiencing good demand for their products and expect to sustain 25% + CAGR for the next few years and have in-fact set an ambitious target of 5000 crores revenue by 2020 (1,284 crores in FY 14).
Usha Martin is an integrated steel and mining company headquartered in Kolkata, India. It has business segments in steel and mining, wire ropes and specialty products, and cables. The document discusses Usha Martin's presence across countries, products, and major overseas units. It then describes the company's design of study for inventory management using ABC analysis to classify inventory items into A, B, and C categories based on their value to total inventory cost. ABC analysis shows that category A items constitute 70% of total cost, category B 20%, and category C 10%. The conclusion is that Usha Martin has achieved success through proper inventory management, and further emphasis should be given to effective inventory control.
The plywood manufacturing process begins with processing logs at a sawmill. The logs are sorted, debarked, and cut into lengths before being placed in a lathe or slicer to produce continuous veneer sheets. The veneer is dried and trimmed to size. Finally, the veneer sheets are layered with adhesive and pressed together to form the finished plywood panels.
Total Knockout: Start-to-Finish Development of Suitability Applications Using...Blue Raster
The document discusses developing suitability mapping applications using Image Server, D3.js, and Knockout.js. Raster data is preprocessed in ArcGIS Server and used to create an image service. Knockout is used to bind raster data from the image service to the view model and automatically update the UI. D3 or Highcharts can be used for data visualization. The application should be developed with a mobile-friendly interface to work across devices.
Vector graphics are composed of geometrical primitives like points, lines, and shapes. They are scaleable without loss of quality. Common vector formats include AI, SVG, and common software is Adobe Illustrator. Raster graphics are composed of pixels with color values. Common formats are BMP, TIFF, JPEG and common software is Photoshop. Both have advantages for different uses like printing. Metafiles can contain vectors, rasters, and text. Common formats are PDF, EMF, WMF.
The company had very little experience with GIS and viewed it as an unnecessary challenge. Through collaboration with the survey team and migrating their data to a geodatabase, the spatial team was able to improve workflows and data sharing. This reduced timeframes and captured the attention of other departments. The team expanded use of GIS through training and templates, establishing a single source of truth for spatial data and sharing maps and data through GIS online. After an initial resistance, the company embraced the enterprise GIS solution which has enabled more development of custom applications.
The document discusses big data and NoSQL technologies. It defines big data, discusses its key characteristics of volume, velocity, and variety. It then discusses NoSQL databases as an alternative to traditional SQL databases for handling big data workloads. Specific NoSQL technologies and how they provide more scalability and flexibility for big data are covered. The document also addresses whether NoSQL is replacing SQL databases and argues it depends on the specific use case.
AssetAnyWhere is an ISV that provides CMS services and wants to expand into digital asset management (DAM). It needs to develop a DAM solution that can seamlessly integrate with various design tools, address performance and data security concerns of enterprise customers with globally distributed offices, and implement 27 features like workflow, collaboration, search, and analytics. The solution must also support on-premise installations, use of disruptive technologies, and define governance and performance benchmarks.
TELUS Case Study: iVAULT implementation improved corporate intelligence eventspat
This document summarizes a webinar about TELUS's implementation of the iVAULT content management system. Some key points:
- iVAULT was implemented to improve TELUS's corporate intelligence by creating a centralized spatial data store and new FieldView application. This consolidated data from disparate legacy systems and maps like ArcGIS, MapGuide, and Google Maps.
- The new architecture included an Oracle spatial data store replicating TELUS infrastructure data from their Intergraph Framme system. This cleaned up issues and standardized the data.
- A new FieldView application was developed to provide customized analysis tools for various departments through a web interface on both desktop and mobile.
- The
The document discusses using MapReduce for a sequential web access-based recommendation system. It explains how web server logs could be mapped to create a pattern tree showing frequent sequences of accessed web pages. When making recommendations for a user, their access pattern would be compared to patterns in the tree to find matching branches to suggest. MapReduce is well-suited for this because it can efficiently process and modify the large, dynamic tree structure across many machines in a fault-tolerant way.
GIS is transforming into a pervasive platform that connects existing GIS investments and provides mapping and analysis capabilities to entire organizations. ArcGIS provides the core of this platform by offering data management, analysis, visualization, and integration with other systems. It supports a variety of devices and enables new user experiences through crowdsourcing and location awareness. As a platform, ArcGIS breaks down barriers between workflows and disciplines, and organizations are rapidly adopting it to organize and share information.
TELUS Case Study: GIS for Telecommunicationseventspat
This document describes how TELUS implemented an iVAULT system to improve access to and use of their spatial data. Key points:
1. TELUS integrated their disparate GIS systems and data into a single iVAULT system with a spatial data store, allowing unified access for field users and departments.
2. The iVAULT system included a new FieldView application for viewing, searching, analyzing and editing spatial and attribute data via web and mobile.
3. The spatial data store cleaned up TELUS' IMAGE database and consolidated over 1,000 design files, improving data quality and access.
4. The unified system allows TELUS to better analyze customer and network data
ArcGIS 10.5 advances the platform with innovations in areas like analytics, smart mapping, 3D, remote sensing, and big data. The document outlines the major components of ArcGIS 10.5 including ArcGIS Enterprise for on-premises deployment, ArcGIS Online for cloud deployment, ArcGIS Pro desktop application, and APIs for building custom applications. It provides details on enhancements in data management, mapping, 3D, analytics, big data, imagery, real-time capabilities, and how ArcGIS enables different types of systems for engagement, insight, and records.
Enabling Real-Time Business with Change Data CaptureMapR Technologies
Machine learning (ML) and artificial intelligence (AI) enable intelligent processes that can autonomously make decisions in real-time. The real challenge for effective ML and AI is getting all relevant data to a converged data platform in real-time, where it can be processed using modern technologies and integrated into any downstream systems.
Content-Based Image Retrieval Case StudyLisa Kennedy
This document summarizes an article about Kodak's challenges in transitioning to digital photography. It discusses Kodak's traditional business model of relying on film sales and notes the key differences between traditional and digital imaging chains. The document also analyzes some of the hidden reasons for Kodak's struggles, including its expertise in film causing overconfidence, organizational inertia resisting change, and failure to see digital photography as more than just a technology threat.
This document analyzes Century Plyboards (India) Ltd and recommends buying its stock. It summarizes the company's position as India's largest plywood manufacturer with 25% market share. It also notes that the proposed Goods and Services Tax could benefit organized players like Century by leveling costs between organized and unorganized competitors. Finally, it recommends buying Century stock with a target price of Rs 236, representing a 33% upside.
This is a social media case study of Century Ply which is closer to the consumers in their day to day life and build an emotional bond with them Strengthening the positioning of the tag line!
The document provides details on a repositioning strategy and integrated marketing campaign for The Body Shop brand. The strategy involves narrowing the target audience to 18-28 year old women, focusing on The Body Shop's organizational associations and brand heritage, and promoting vicarious nostalgia. The implementation plan includes repackaging products, training staff, and a two-year IMC campaign utilizing direct marketing, PR, advertising, sales promotions, and personal selling. Progress will be evaluated every six months through brand audits measuring motivation, benefit structures, price elasticity, and an importance performance analysis.
Century Plyboards is India’s leading wood-panel Company. It operates mainly in two segments: plywood and laminates. Plywood brings in ~76% of its revenues, laminates about 18%. Container Freight Stations (CFS) account for the remaining.
The company has six plywood manufacturing plants spread across the length and breadth of India and one in Myanmar. It is among the top-three laminate manufacturers with capacity of 4.8m sheets and it also has two container-freight stations at the Kolkata port.
Over the last 30 years the company has emerged as a dominant player in the decorative plywood industry with more than 25% share of the organised market worth 4,500 crores. Against the plyboard industry growth rate of 12% for the last 6 years, Century Plyboard has recorded 18% CAGR led by market share gains from the unorganised segment.
Century Ply has also established itself as one of the leading laminate brands in India (third-largest manufacturer in India after Greenply and Merino) and its laminate revenue recorded a 15% CAGR over FY09-14.
It’s important to note here that of the total plywood industry (15,000 crores +), the share of organized players is still 30%, though it has increased from 10% a decade back. As is being witnessed in other industries, the share of organized players is expected to inch up further from 30% and if GST is implemented then the gain in market share will be much faster. With strong entry barriers (Govt. licensing as a hedge against de-forestations and difficulty in sourcing raw material) the incumbent organized players like Century will be the key beneficiaries of the shift towards branded products.
In order to sustain the growth momentum, the company recently doubled its laminates capacity to 4.8m sheets and increased the plywood capacity to 210,000 CBM. It has also increased its dealer’s base from 1,106 in FY12 to 1,424 in FY14.
As per the management, they are experiencing good demand for their products and expect to sustain 25% + CAGR for the next few years and have in-fact set an ambitious target of 5000 crores revenue by 2020 (1,284 crores in FY 14).
Usha Martin is an integrated steel and mining company headquartered in Kolkata, India. It has business segments in steel and mining, wire ropes and specialty products, and cables. The document discusses Usha Martin's presence across countries, products, and major overseas units. It then describes the company's design of study for inventory management using ABC analysis to classify inventory items into A, B, and C categories based on their value to total inventory cost. ABC analysis shows that category A items constitute 70% of total cost, category B 20%, and category C 10%. The conclusion is that Usha Martin has achieved success through proper inventory management, and further emphasis should be given to effective inventory control.
The plywood manufacturing process begins with processing logs at a sawmill. The logs are sorted, debarked, and cut into lengths before being placed in a lathe or slicer to produce continuous veneer sheets. The veneer is dried and trimmed to size. Finally, the veneer sheets are layered with adhesive and pressed together to form the finished plywood panels.
Total Knockout: Start-to-Finish Development of Suitability Applications Using...Blue Raster
The document discusses developing suitability mapping applications using Image Server, D3.js, and Knockout.js. Raster data is preprocessed in ArcGIS Server and used to create an image service. Knockout is used to bind raster data from the image service to the view model and automatically update the UI. D3 or Highcharts can be used for data visualization. The application should be developed with a mobile-friendly interface to work across devices.
Vector graphics are composed of geometrical primitives like points, lines, and shapes. They are scaleable without loss of quality. Common vector formats include AI, SVG, and common software is Adobe Illustrator. Raster graphics are composed of pixels with color values. Common formats are BMP, TIFF, JPEG and common software is Photoshop. Both have advantages for different uses like printing. Metafiles can contain vectors, rasters, and text. Common formats are PDF, EMF, WMF.
The company had very little experience with GIS and viewed it as an unnecessary challenge. Through collaboration with the survey team and migrating their data to a geodatabase, the spatial team was able to improve workflows and data sharing. This reduced timeframes and captured the attention of other departments. The team expanded use of GIS through training and templates, establishing a single source of truth for spatial data and sharing maps and data through GIS online. After an initial resistance, the company embraced the enterprise GIS solution which has enabled more development of custom applications.
The document discusses big data and NoSQL technologies. It defines big data, discusses its key characteristics of volume, velocity, and variety. It then discusses NoSQL databases as an alternative to traditional SQL databases for handling big data workloads. Specific NoSQL technologies and how they provide more scalability and flexibility for big data are covered. The document also addresses whether NoSQL is replacing SQL databases and argues it depends on the specific use case.
AssetAnyWhere is an ISV that provides CMS services and wants to expand into digital asset management (DAM). It needs to develop a DAM solution that can seamlessly integrate with various design tools, address performance and data security concerns of enterprise customers with globally distributed offices, and implement 27 features like workflow, collaboration, search, and analytics. The solution must also support on-premise installations, use of disruptive technologies, and define governance and performance benchmarks.
TELUS Case Study: iVAULT implementation improved corporate intelligence eventspat
This document summarizes a webinar about TELUS's implementation of the iVAULT content management system. Some key points:
- iVAULT was implemented to improve TELUS's corporate intelligence by creating a centralized spatial data store and new FieldView application. This consolidated data from disparate legacy systems and maps like ArcGIS, MapGuide, and Google Maps.
- The new architecture included an Oracle spatial data store replicating TELUS infrastructure data from their Intergraph Framme system. This cleaned up issues and standardized the data.
- A new FieldView application was developed to provide customized analysis tools for various departments through a web interface on both desktop and mobile.
- The
The document discusses using MapReduce for a sequential web access-based recommendation system. It explains how web server logs could be mapped to create a pattern tree showing frequent sequences of accessed web pages. When making recommendations for a user, their access pattern would be compared to patterns in the tree to find matching branches to suggest. MapReduce is well-suited for this because it can efficiently process and modify the large, dynamic tree structure across many machines in a fault-tolerant way.
GIS is transforming into a pervasive platform that connects existing GIS investments and provides mapping and analysis capabilities to entire organizations. ArcGIS provides the core of this platform by offering data management, analysis, visualization, and integration with other systems. It supports a variety of devices and enables new user experiences through crowdsourcing and location awareness. As a platform, ArcGIS breaks down barriers between workflows and disciplines, and organizations are rapidly adopting it to organize and share information.
TELUS Case Study: GIS for Telecommunicationseventspat
This document describes how TELUS implemented an iVAULT system to improve access to and use of their spatial data. Key points:
1. TELUS integrated their disparate GIS systems and data into a single iVAULT system with a spatial data store, allowing unified access for field users and departments.
2. The iVAULT system included a new FieldView application for viewing, searching, analyzing and editing spatial and attribute data via web and mobile.
3. The spatial data store cleaned up TELUS' IMAGE database and consolidated over 1,000 design files, improving data quality and access.
4. The unified system allows TELUS to better analyze customer and network data
ArcGIS 10.5 advances the platform with innovations in areas like analytics, smart mapping, 3D, remote sensing, and big data. The document outlines the major components of ArcGIS 10.5 including ArcGIS Enterprise for on-premises deployment, ArcGIS Online for cloud deployment, ArcGIS Pro desktop application, and APIs for building custom applications. It provides details on enhancements in data management, mapping, 3D, analytics, big data, imagery, real-time capabilities, and how ArcGIS enables different types of systems for engagement, insight, and records.
Enabling Real-Time Business with Change Data CaptureMapR Technologies
Machine learning (ML) and artificial intelligence (AI) enable intelligent processes that can autonomously make decisions in real-time. The real challenge for effective ML and AI is getting all relevant data to a converged data platform in real-time, where it can be processed using modern technologies and integrated into any downstream systems.
Content-Based Image Retrieval Case StudyLisa Kennedy
This document summarizes an article about Kodak's challenges in transitioning to digital photography. It discusses Kodak's traditional business model of relying on film sales and notes the key differences between traditional and digital imaging chains. The document also analyzes some of the hidden reasons for Kodak's struggles, including its expertise in film causing overconfidence, organizational inertia resisting change, and failure to see digital photography as more than just a technology threat.
Delivering Optimal Images for Phones and Tablets on the Modern WebJoshua Marantz
Evolving mobile hardware and networks have made it challenging for web sites to deliver an optimal experience to each client. If you send the same image to both a WiFi Retina tablet and a 3G phone, you compromise speed and bandwidth cost against image quality. We'll look at using HTML and CSS image markup, CDNs, HTTP caching directives and how WPO can deliver a great UX with minimal effort.
Research Inventy : International Journal of Engineering and Science is publis...researchinventy
This document summarizes a research paper that proposes a novel approach for content-based image retrieval using wavelet transform and hierarchical neural networks. The paper describes how wavelet transforms are used to extract features from images, and a neural network is trained on these features to classify and retrieve similar images. The system was tested on a database of 450 images across different categories. Initial results found an accuracy of about 70% when querying images. The paper concludes that while initial results are promising, further research is needed to explore different wavelet functions, feature extraction techniques, and classification methods to improve accuracy.
Research Inventy: International Journal of Engineering and Scienceresearchinventy
This document summarizes a research paper that proposes a novel approach for content-based image retrieval using wavelet transform and hierarchical neural networks. The paper describes how wavelet transforms are used to extract features from images, and a neural network is trained on these features to classify and retrieve similar images. The system was tested on a database of 450 images across different categories. Initial results found an accuracy of about 70% when querying images. The paper concludes that while initial results are promising, further research is needed to explore different wavelet functions, feature extraction techniques, and classification methods to improve accuracy.
The document discusses Asman Software Solutions Pvt. Ltd., an Indian IT services company that provides services including geographic information systems development, mobile app development, web development, animation, and application services using technologies such as .NET, Java, and ArcGIS. The company has offices in India, the US, and Germany, and aims to understand customers' unique needs and deploy holistic solutions through a customer-focused approach and expertise in various technologies.
1. ArcGIS is a complete platform for imagery analysis and management. It supports over 100 analytic tools for tasks like image classification, as well as standard workflows and all major sensor types.
2. The new ArcGIS Image Server role provides fast, efficient processing, analysis, and sharing of massive image collections. It enables dynamic mosaicking and on-the-fly processing of image services.
3. Tools like the Full Motion Video add-in, Drone2Map, and ArcGIS Pro allow for planning, data collection, processing, analysis, and dissemination of imagery within the ArcGIS platform.
INIA- CISA: Análisis de las amenazas en la fauna silvestreEsri
El documento describe cómo un centro de investigación utilizó herramientas SIG para analizar datos sobre animales silvestres ingresados en un centro de recuperación con el fin de identificar especies, áreas y períodos con mayor riesgo de amenazas y sus relaciones con factores humanos y ambientales. Esto permitió enfocar medidas correctivas de manera más eficiente para conservar la fauna silvestre y prevenir amenazas. En particular, se analizó el riesgo de colisión de rapaces nocturnas con vehículos, identificando las zonas de mayor
Aena Aeropuerto Adolfo Suárez-Barajas crea potentes aplicaciones para sus cli...Esri
Aena Aeropuerto Adolfo Suárez-Barajas creó aplicaciones personalizadas para sus clientes internos utilizando ArcGIS, aprovechando su experiencia previa. Estas nuevas aplicaciones son fáciles de usar y gestionar, y permiten responder más rápidamente a las necesidades de los usuarios. Ahora los usuarios internos y externos tienen acceso a herramientas de mapeo actualizadas que mejoran la eficiencia de las operaciones en el aeropuerto.
El Ayuntamiento de Móstoles implementó una plataforma Smart City utilizando ArcGIS para mejorar la eficiencia, permitir la participación ciudadana y gestionar los activos municipales en tiempo real. La solución integró toda la información municipal en una sola plataforma e incorporó sensores para supervisar servicios como el alumbrado público. Además, una aplicación permite a los ciudadanos reportar incidencias y el ayuntamiento responder más rápido, ahorrando costos.
ArcGIS Online es una plataforma en la nube que permite crear y compartir mapas, aplicaciones y datos geográficos. Los usuarios pueden publicar y almacenar servicios web en la nube, crear mapas interactivos a partir de datos como hojas de cálculo, y colaborar y compartir contenido con otros mediante grupos privados o públicos.
Portal for ArcGIS is a content management system that provides a framework to easily manage and secure geographic assets within an organization. It extends the reach of GIS to everyone in an organization, enabling better decision making. Portal for ArcGIS can be used to implement web GIS on-premises or in the cloud for organizations with specialized security requirements. It will be included with ArcGIS for Server Standard and Advanced starting at version 10.3.
GIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime DataEsri
The Royal Australian Navy's Hydrography, Meteorology and Oceanography Branch is responsible for collecting, managing, analyzing, and disseminating meteorological and oceanographic data to enable defense users to properly consider environmental impacts. This data comes in large volumes and various formats. Using ArcGIS for Server and custom scripts, the branch can serve this data as OGC web services, including nautical charts and bathymetry as WMS and netCDF weather data as WMS and WCS. This allows for rapid analysis and dissemination of data to gain knowledge of the battlespace and environment.
An Effective Tool for Drinking Water ProtectionEsri
The document discusses ICWater, a tool developed by Leidos to predict the spread and impact of hazardous material releases in river systems. ICWater forecasts (1) where contaminants will travel, (2) if they will reach drinking water intakes, (3) when they will arrive, and (4) if concentrations will threaten human health. It interfaces with USGS stream gauges and databases on infrastructure to provide timely information to decision makers. ICWater successfully modeled the 2014 Elk River chemical spill in West Virginia to advise authorities and protect drinking water.
GeoCollector for ArcPad is a mobile GIS solution that combines Esri's ArcPad software with Trimble GPS hardware to improve the accuracy of collected location data. It provides field workers with a rugged tablet equipped with an integrated GPS receiver and ArcPad software for mapping and data collection. This solution allows organizations to make timely decisions based on reliable location information gathered by field staff.
GeoCollector for ArcGIS for Windows Mobile is a mobile GIS solution that combines Esri's GIS software with Trimble's GPS hardware to improve the accuracy of collected data. It allows field workers to visualize maps, collect geo-located data, and integrate accurate location information into organizational decision making. The solution includes a Trimble Geo 7X handheld device with integrated GPS receiver and ArcGIS for Windows Mobile software for mobile field mapping and data collection with minimal training.
Data Appliance for ArcGIS is an enterprise solution that provides high performance and secure access to terabytes of preloaded geospatial data stored on a network-attached storage device. It includes global basemaps that allow users to immediately build mapping applications. Organizations can publish maps and build apps to share securely behind their firewall. A server bundle is also available for organizations that do not have ArcGIS for Server.
This document describes new premium imagery services from Esri and BlackBridge that provide continuously updated 5-band, 5-meter imagery for use in ArcGIS. The services include a Living Image Basemap service sourced from BlackBridge's RapidEye constellation, regional Mosaics services with virtually cloud-free hand-picked images, and a Living Image Multispectral service providing temporal multispectral imagery through online services.
GeoPlanner for ArcGIS is a web-based app that helps users create, assess, and share planning designs using the geographic knowledge and tools of the ArcGIS platform. It allows users to bring in their own planning data, sketch design plans, compare alternative designs using dashboards, and enable collaboration throughout the planning process. GeoPlanner incorporates each aspect of a geodesign workflow into a single app so that designers, evaluators, and the public can assess the impacts of various scenarios. The app runs on both desktop and mobile devices with touch-enabled tools, supporting planning and design access from anywhere.
This document summarizes an Esri and AccuWeather partnership that provides weather data and warnings through ArcGIS Online. It allows key personnel to access real-time weather reports and warnings to communicate updates. The partnership protects people, property, and assets from severe weather threats with AccuWeather warnings developed by meteorologists. ArcGIS tools can analyze weather data to understand weather impacts and help determine emergency procedures. AccuWeather aims to provide the earliest warnings to enact procedures and save lives.
Esri and Airbus Defense & Space provide imagery products and services including thematic imagery layers with region-specific basemaps and fresh 50cm resolution orthorectified imagery. Their site monitoring service analyzes changes at targeted sites on a daily, weekly or monthly basis and delivers a detailed change detection report as an ArcGIS image service and Story Map app. Their satellite tasking and archive app allows users to task Airbus Defense & Space satellites to acquire new imagery over areas of interest or order images from the archive, with images delivered as an ArcGIS image service.
This document provides a summary of various US demographic and business data sources available from Esri, including descriptions, frequencies of updates, and data vintages. It describes datasets covering topics such as population, households, income, businesses, retail sales, crime, banking and demographics. The data comes from sources including the US Census Bureau, Bureau of Labor Statistics, Dun & Bradstreet and other public and private organizations. Most datasets are updated annually, with some updated decennially, quarterly or semiannually.
ArcGIS for Server on Microsoft Azure JumpstartEsri
This document discusses ArcGIS for Server on Microsoft Azure and the ArcGIS for Server on Microsoft Azure Jumpstart offering from Esri. It provides an overview of deploying ArcGIS for Server in the Microsoft Azure cloud, including advantages such as lower hardware costs, automatic scaling, and leveraging the Azure management portal. It then describes the Jumpstart as providing on-site support and training to help customers get started with ArcGIS Server on Azure, including orientation, VM setup, data loading, service creation, and custom VM configuration. It notes that Esri Professional Services can determine if the Jumpstart is a good fit or provide custom services if additional needs exist. The Jumpstart can be purchased through Esri Professional Services or a customer's
ArcGIS provides tools and capabilities to enable naval units to operate self-sufficiently in remote locations with limited bandwidth. It allows warfighters to access and analyze geospatial data through familiar applications like dashboards and Microsoft Office. The ArcGIS platform delivers low-cost and interoperable solutions to support maritime operations and command and control decisions. It helps transform raw data into actionable intelligence through geoanalytics and visualization.
Esri Geoportal Server is an open source product that enables discovery and use of geospatial resources like datasets, rasters, and web services. It helps organizations manage and publish metadata for their geospatial resources so users can discover and connect to those resources. Key features include supporting international standards, cataloging GIS resources regardless of location or type, and facilitating discovery through a customizable geoportal web interface.
GeoEvent Extension for Server allows users to connect streaming sensor data to GIS applications in real time to monitor assets and alert personnel of specified conditions. It can process and filter multiple data streams using user-defined rules, and includes connectors for common sensors. Key benefits include incorporating real-time data into existing GIS systems to show updated information and detect important spatial or attribute events. The software can be integrated with various monitoring applications and deployed on-premises or in the cloud.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
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Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
1. Past,
Imagery: Present,
Future
By Karen Richardson, Esri Writer
Esri writer Karen Richardson recently Richardson: You
talked about imagery data
sat down with Peter Becker, Esri’s management changing. In what ways has it
manager of imagery products, to improved?
understand where the industry is
Becker: Traditional desktop image processing software was de-
and where it is going. Becker was signed primarily to work with a single or a few images at a time
the technical manager for MAPS and could never scale to a large number of images. The integration
Geosystems in the United Arab of GIS techniques for handling large numbers of vectors, such as
Emirates for 15 years before joining Esri. At Esri, he image footprints, databases of metadata, and process modeling
worked on the development of image server technology. techniques, enabled image management to be scaled by many mag-
nitudes in terms of number of images as well as efficiency. Databases
For the past 4 years, he has served as the product man-
are used to manage the large number of parameters that define not
ager for imagery. He graduated with a bachelor’s degree only the properties of the imagery but the processing to be applied
in engineering with honors in control engineering from to it. The pixels in the images, in most cases, do not change. It is the
the University of Sheffield in the United Kingdom. parameters that define how to process the images that change.
The processing of imagery has also changed from a push-based
model, in which each input image is transformed through a set of
Richardson: Over the past several years you processes with intermediate outputs, to a pull-based model, in which
have been working with imagery, you have the output is defined and the system selects and processes only the
seen a lot of changes. Is there one significant required pixels through a concatenated collection of image process-
change that you’ve seen that stands out more ing functions. Th is substantially reduces the data volumes accessed
and removes the intermediate products that create bottlenecks
than others?
when scaling. These new transactional image data management
Becker: It is not one but many. First, I’d have to say the move to techniques enable image products to be created on the fly directly
digital sensors from the traditional scanned aerial fi lm was a signifi- from the input imagery as soon as the image is available and has the
cant change. The volume, speed, and clarity of imagery that digital highest value. Processing parameters can then be refined to create a
cameras collect is astounding. Plus, with no scratches or dust on the graded product where accuracy and quality of the output improves
fi lm to degrade the quality of the images, the processing possibilities as additional processing parameters—such as better orientation,
and analysis are so much better. terrain models, or color correction parameters—are obtained.
Being able to acquire such a great number of images required a Using a GIS to produce imagery on the fly, together with the ability
significant change in how imagery should be managed. Instead of to manage very large volumes of data, means we do not have to wait
viewing and working with a single image at a time, techniques were for all the data to process to use what we need. We can view many
developed to make it possible to work with very large numbers of images, zoom in to any location, and visualize the information that
images. Naturally, the significant increase in computing power and is there. This also allows us to quality check our work more quickly,
optimization of algorithms has meant that it’s now possible to nearly so projects, such as an orthophoto project, that used to take months
instantaneously process imagery into multiple products. to create, now can produce images immediately. Going from the
6 au Summer 2012 esri.com
2. Software and Data
traditional input-output model to a transactional mode in which all is more challenging. Geospatial imagery is typically referred to by IT
the data is in a database and quickly accessed has changed the very as “big data,” and it creates a challenge for the cloud. A cloud pattern
manner in which large projects are done. that has emerged for working with big data brings the computation-
al power—the CPU—to the data, not the data to the CPU.
Richardson: Image services are one way of serving Traditional image processing patterns involve moving the image-
ry to processing centers. With the vast quantities of imagery, this is
up data—what is an image service and how is
not practical. Now, with high processing capacity and software such
it different from accessing imagery locally? as ArcGIS for Server, it is much more efficient to bring computing
Becker: I’ll use Esri’s ArcGIS to give you an idea of what an image power to the data. The challenge is determining where and how best
service is and split it into two parts. ArcGIS handles very large vol- to store the imagery in the cloud. Th is will soon be resolved by mul-
umes of imagery in a data model called a mosaic dataset. Th is is a tiple vendors offering optimized storage and processing options for
database model optimized for image data management. A mosaic imagery as well as the use of hybrid clouds. In hybrid clouds, much of
dataset allows the user to ingest metadata about images into a the storage and image processing will remain on more dedicated in-
structured database and then define processing to be applied. Th is frastructures internal to organizations but also interface with public
processing can be as simple as cropping imagery and stretching but clouds. Th is will provide higher availability of cached maps in public
can also model more complex processes such as pan sharpening, or- clouds (like ArcGIS Online) created from a server running commu-
thorectification, color correction, or seam line creation. The actual nity clouds specialized for processing but accessible to the public.
processing is only applied on the fly as ArcGIS accesses the imagery
and converts the base pixels into different products. The processing Richardson: Last
year, Esri provided access to
parameters can be changed and refined at any point in time. Th is is the Landsat GLS [Global Land Survey] dataset
very different than the traditional way of managing imagery.
as image services. This is Landsat’s 40th anni-
The mosaic dataset can be used directly on the desktop for simple
access in small workgroups. The same mosaic datast can also be
versary. Are you planning anything to celebrate?
published to ArcGIS for Server, making that imagery accessible to Becker: Certainly. The Landsat imagery provides phenomenal
a larger number of users. The server performs the required process- value through its ability to provide both temporal and multispectral
ing and returns only the required pixels to client applications. These data. Later this year, Esri will be releasing an updated version of the
services are dynamic and enable users to also change various pa- World Landsat services that provide simple access to the Landsat
rameters to control the processing and display order of the imagery, GLS dataset using image services. We will continue to improve the
exposing the full information content in the imagery. services by refining the parameters used to process the imagery to
Image services also act as a catalog. Any area you query, the return better radiance values as well as color corrections and on-
system not only shows you appropriate imagery but also all the the-fly scan line removal. We will include the GLS 2010 data.
metadata about each of the images, enabling users to refine what All these changes will further improve the ability for organiza-
imagery is displayed based on metadata such as dates, sensor type, tions to use Landsat imagery to compare images from different time
or properties such as viewing angle. periods to see how the world has changed. Landsat imagery allows
While dynamic image services provide access to rich imagery us to view agriculture, encroachment, and the effects of natural dis-
content, there is also a standard requirement for users to simply and asters, to name a few examples. We are excited to work with USGS
quickly access the best imagery to use as a background in mapping [US Geological Survey] to provide access to these important archives
applications. The optimum way to serve such imagery is as a map now and into the future.
cache. Th is consists of large collections of small preprocessed image
tiles that can be very efficiently distributed through the web. Th is is Using a GIS to produce imagery on the fly, together with the
how most imagery that is displayed in Google Maps, Microsoft Bing, ability to manage very large volumes of data, means images can be
and ArcGIS Online is published. Mosaic datasets can be used to produced immediately.
define these map caches, and then the server can generate and serve
these tiles efficiently. Because they are optimized for cloud environ-
ments, there is not much load on the servers.
Richardson: Speakingof cloud environments, we
hear a lot about the cloud these days. Is this
affecting how people work with imagery?
Becker: From a user perspective, definitely. What most people are
familiar with as background imagery in a web application are map
caches that are stored and shared from multiple clouds. Pushing
cached tiles to cloud storage and distribution is a simple example
of using the cloud.
From a dynamic image services perspective, using public clouds
3. Richardson: There has been talk about access Richardson: Esri has a new release of its
to global elevation data. Can you share some software coming out in the next few months.
information on that? Are there any exciting enhancements included
Becker: This is a project that brings together publicly available in that release for imagery?
elevation data including SRTM [Shuttle Radar Topography Mission], Becker: ArcGIS 10.1 is our latest release, and it has a lot of improve-
USGS, NED [National Elevation Dataset], and GMTED [Global Multi- ments for working with imagery including simplifying workflows.
resolution Terrain Elevation Data] as well as samples of commercial There are new capabilities available when working with mosaic data-
datasets, bathymetry, and high-resolution lidar data. This is all com- sets, including automated image-to-image registration, color correc-
bined into a mosaic dataset and provided as an image service from tion, and seam line generation, that will make the management of
the Amazon Cloud. imagery even easier. Additional capabilities, such as mensuration
Using these services, users can quickly and easily zoom to any lo- (for the measurement of heights from satellite, aerial, and oblique
cation on the earth’s surface and immediately use the best publicly imagery), will provide more information content. Support for radar
available elevation data for their projects. Multiple derived products, and full-motion video will increase the available data sources.
such as rendered versions of hillshades, slope, and aspect, are di- ArcGIS 10.1 will also be able to directly bring in lidar LAS files as
rectly accessible. Users can access the actual data values for further points, TINs, and rasters for visualization, editing, and analysis. This
processing and, when appropriate, analyses. release will also include the ability to serve lidar as elevation data to
The services include terrain and surface models as well as topo- desktop and web applications.
bathy models that combine different sources in multiple ways. This The big message is that ArcGIS provides true seamless integration
will be of great interest to a number of GIS users—many of whom of vector and imagery data, and there is no reason to continue using
use elevation in some form—as well as application developers. We imagery only as a beautiful background.
will be extending this service in the future with greater analysis ca-
pabilities. We will also provide subscription access to elevation from Richardson: You’vetalked a lot about the sharing
commercial vendors who have valuable elevation datasets.
These services provide a template and best practice for organiza-
and accessibility of image services. Why is this
tions wishing to implement similar systems with their own data. so important to remote-sensing professionals?
Organizations can get copies of these services as templates that they Becker: It’s important not only for imagery professionals but also of
can then replicate and pour their own data into. This gives them interest to both the general public and GIS users. Image services are
access to the information content of elevation data without taking a a fantastic way to provide this rich image, information to large num-
lot of time or worrying about how to manage all the data. bers of users. The human brain is amazingly adept at extracting in-
formation out of imagery. See an image and, in an instant, your brain
Richardson: Is lidar important? will extract information, especially when provided with a spatial
context such as another image or basemap. Imagery is important for
Becker: Lidar is huge both internationally and in the United States,
many applications as it provides the evidence that allows people to
and for a good reason. It has a number of advantages over aerial im-
gain confidence in their decisions.
agery. Lidar can be collected at any time of the day or night in any
As more and more people depend on imagery from multiple sourc-
season and does not have the limitations of traditional imagery.
es, at different dates and using various spectral components, under-
Like lidar, 3D points are being used more and more to create
standing this enormous range of data becomes more important.
surfaces. Both digital cameras and lidar create massive amounts
Moving the CPU processing to the data will allow remote-sensing
of data, so the challenges are similar. Many of the techniques for
professionals to apply more analysis on the data. Image services
dealing with point clouds are the same as with mosaic datasets of
will be a big part of the transition in the remote-sensing industry to
imagery—make them accessible by providing dynamic on-the-fly
enable true access and analysis of imagery.
processing capabilities so they can be used to create many different,
useful products quickly.
Richardson: Looking
ahead three to five years, if
we sat down again to discuss remote sensing,
what would you hope to be telling me then?
Becker: I hope by that time that geoprocessing of cloud-based im-
agery will have really taken off. People will be using these services to
run different models, ask specific questions, and get answers from
multiple cloud-based services. I would hope to be talking about all
these great examples and be able to say that we are getting closer to
ubiquitous image access.
8 au Summer 2012 esri.com