This document provides information about a GIS fundamentals course taught by Dr. Ronald Briggs at the University of Texas at Dallas, including details about the instructor, course materials, evaluation methods, and an overview of key GIS concepts. It introduces GIS as a system for integrating spatial and attribute data using location as the organizing principle. Spatial data can be represented using raster models with grid cells or vector models with points, lines, and polygons. Properties like projection, scale, accuracy, and resolution are important for spatial data. The document provides examples of different data layers that can be incorporated into a GIS, such as street networks, land parcels, and raster imagery.
Fundamentals of Geographical Information System.pptbimalp7
This document provides information about a GIS fundamentals course taught by Dr. Ronald Briggs at the University of Texas at Dallas, including details about the instructor, texts, evaluation, and an overview of key GIS concepts. It describes GIS as a system of integrated computer tools for processing geographic data using location on Earth's surface. It also outlines the GIS data model involving layers of spatial and attribute information and representations through raster and vector formats.
This document provides information about a GIS fundamentals course taught by Dr. Ronald Briggs at the University of Texas at Dallas, including details about the instructor, course materials, evaluation methods, and an overview of key GIS concepts. It discusses GIS as a system for integrating spatial and attribute data using layers, and representations of data through the raster and vector models. Projection, scale, accuracy, and resolution are introduced as important properties of spatial data.
This document provides information about a GIS fundamentals course taught by Dr. Ronald Briggs at the University of Texas at Dallas, including details about the instructor, texts, evaluation methods, and an overview of topics that will be covered in the course. The course will introduce students to fundamental GIS concepts like the data model, spatial and attribute data, vector and raster representation of data, and key properties of spatial data including projection, scale, accuracy, and resolution. Students will learn about applying GIS to areas like urban planning, environmental science, and business through examples.
This document provides an overview of Geographic Information Systems (GIS). It begins by defining GIS as a system for capturing, storing, analyzing and displaying spatial data. It notes that GIS integrates spatial data from sources like GPS and remote sensing. The document then discusses key GIS concepts like layers, vector and raster data models, and the importance of attributes, projections, and other metadata. Examples of common GIS applications are provided across various domains like urban planning, environmental management, and business. The major GIS software vendors are also outlined.
Gis Geographical Information System FundamentalsUroosa Samman
Gis, Geographical Information System Fundamentals. This presentation includes a complete detail of GIS and GIS Softwares. It will help students of GIS and Environmental Science.
This document provides an introduction and overview of geographic information systems (GIS). It defines GIS as a set of tools used to collect, store, manipulate, analyze and display spatial data. A GIS integrates hardware, software and data to capture, store, update, manipulate, analyze and display all forms of geographically referenced information. The document discusses the components of a GIS including hardware, software, data, procedures/analysis and personnel. It also outlines common GIS data formats, sources, applications in various fields, and functions such as location-allocation analysis.
This document provides an introduction and overview of geographic information systems (GIS). It defines GIS as a set of tools used to collect, store, manipulate, analyze and display spatial data. A GIS integrates hardware, software and data to capture, store, update, manipulate, analyze and display all forms of geographically referenced information. The document discusses the components of a GIS including hardware, software, data, procedures/analysis and personnel. It also outlines common GIS data formats, sources, applications in various fields, and functions such as location-allocation analysis.
This document discusses the history and applications of geographic information systems (GIS) with a focus on its use in public health. It provides background on GIS, describing it as a set of tools for collecting, storing, manipulating, and displaying spatial data. The document outlines the history of GIS from early maps in the 1850s to the development of computer-based systems in the 1960s-1980s. It then discusses various uses of GIS in public health including disease mapping and surveillance, environmental health analysis, and health resource planning and accessibility analysis. Specific examples of GIS applications in Nepal are also mentioned.
Fundamentals of Geographical Information System.pptbimalp7
This document provides information about a GIS fundamentals course taught by Dr. Ronald Briggs at the University of Texas at Dallas, including details about the instructor, texts, evaluation, and an overview of key GIS concepts. It describes GIS as a system of integrated computer tools for processing geographic data using location on Earth's surface. It also outlines the GIS data model involving layers of spatial and attribute information and representations through raster and vector formats.
This document provides information about a GIS fundamentals course taught by Dr. Ronald Briggs at the University of Texas at Dallas, including details about the instructor, course materials, evaluation methods, and an overview of key GIS concepts. It discusses GIS as a system for integrating spatial and attribute data using layers, and representations of data through the raster and vector models. Projection, scale, accuracy, and resolution are introduced as important properties of spatial data.
This document provides information about a GIS fundamentals course taught by Dr. Ronald Briggs at the University of Texas at Dallas, including details about the instructor, texts, evaluation methods, and an overview of topics that will be covered in the course. The course will introduce students to fundamental GIS concepts like the data model, spatial and attribute data, vector and raster representation of data, and key properties of spatial data including projection, scale, accuracy, and resolution. Students will learn about applying GIS to areas like urban planning, environmental science, and business through examples.
This document provides an overview of Geographic Information Systems (GIS). It begins by defining GIS as a system for capturing, storing, analyzing and displaying spatial data. It notes that GIS integrates spatial data from sources like GPS and remote sensing. The document then discusses key GIS concepts like layers, vector and raster data models, and the importance of attributes, projections, and other metadata. Examples of common GIS applications are provided across various domains like urban planning, environmental management, and business. The major GIS software vendors are also outlined.
Gis Geographical Information System FundamentalsUroosa Samman
Gis, Geographical Information System Fundamentals. This presentation includes a complete detail of GIS and GIS Softwares. It will help students of GIS and Environmental Science.
This document provides an introduction and overview of geographic information systems (GIS). It defines GIS as a set of tools used to collect, store, manipulate, analyze and display spatial data. A GIS integrates hardware, software and data to capture, store, update, manipulate, analyze and display all forms of geographically referenced information. The document discusses the components of a GIS including hardware, software, data, procedures/analysis and personnel. It also outlines common GIS data formats, sources, applications in various fields, and functions such as location-allocation analysis.
This document provides an introduction and overview of geographic information systems (GIS). It defines GIS as a set of tools used to collect, store, manipulate, analyze and display spatial data. A GIS integrates hardware, software and data to capture, store, update, manipulate, analyze and display all forms of geographically referenced information. The document discusses the components of a GIS including hardware, software, data, procedures/analysis and personnel. It also outlines common GIS data formats, sources, applications in various fields, and functions such as location-allocation analysis.
This document discusses the history and applications of geographic information systems (GIS) with a focus on its use in public health. It provides background on GIS, describing it as a set of tools for collecting, storing, manipulating, and displaying spatial data. The document outlines the history of GIS from early maps in the 1850s to the development of computer-based systems in the 1960s-1980s. It then discusses various uses of GIS in public health including disease mapping and surveillance, environmental health analysis, and health resource planning and accessibility analysis. Specific examples of GIS applications in Nepal are also mentioned.
This document provides an overview of geographic information systems (GIS) and their applications in public health. It discusses the history and development of GIS from the earliest uses in epidemiology in the 1800s to modern digital systems. Key aspects of GIS covered include data representation methods, uncertainties, terminology, and limitations. The document also outlines several important uses of GIS in public health such as mapping disease distribution and identifying at-risk populations.
This document provides an overview of Geographic Information Systems (GIS) including definitions, history, components, data types, functions, applications, supporting technologies, and benefits. It defines GIS as a computerized system for capturing, storing, manipulating, analyzing, managing and presenting geographically referenced data. The key components of a GIS are identified as hardware, software, data, people, and methods. Examples of how GIS can help solve geographic problems for government, transportation, and commercial applications are also provided.
The document discusses the application of remote sensing and geographical information systems (GIS) in civil engineering. It provides definitions of remote sensing as remotely sensing objects on Earth and GIS as a system to capture, store, analyze and present geographically referenced data. The document outlines some basic concepts of GIS including its origins from technologies like computer-aided cartography and databases. It also discusses data types in GIS like spatial data, attributes and different data models. Common software, functional elements and applications of GIS in areas like facilities management and environmental planning are summarized as well.
Application of gis and remote sensing in agricultureRehana Qureshi
This document summarizes the applications of remote sensing and GIS in agriculture as presented by Rehana Khaliq. It discusses how GIS systems capture and analyze geospatial data to integrate information and perform analysis. Remote sensing is defined as obtaining information about objects without physical contact using sensors. The document outlines how remote sensing and GIS have been applied to agriculture for tasks like crop mapping and monitoring, yield estimation, and precision agriculture. It also discusses their applications in forestry, land use mapping, and urban planning. While remote sensing provides valuable data, it notes that measurement errors and data interpretation can sometimes be challenging. In conclusion, the document argues that remote sensing and GIS are promising tools to enhance sustainable agriculture and development through
The document provides an overview of geographical information systems (GIS). It defines GIS as a system for capturing, storing, manipulating, analyzing and presenting spatial or geographic data. It describes the core components of GIS as hardware, software, data, people and methods. It outlines several applications of GIS in fields such as agriculture, natural resource management, transportation, military, business and more. It also discusses concepts such as data types, map scale and resolution, and key GIS terminologies.
The document provides an overview of geographical information systems (GIS). It defines GIS as a system for capturing, storing, manipulating, analyzing and presenting spatial or geographic data. It describes the core components of GIS as hardware, software, data, people and methods. It outlines several applications of GIS in fields such as agriculture, natural resource management, transportation, military, business and more. It also discusses concepts such as data types, map scale and resolution, and provides examples of GIS terminology.
This document provides an overview of a Geographic Information Systems (GIS) course. It defines GIS as a computer tool that combines database and mapping technologies to create maps where every point, line, or polygon is connected to a database. GIS allows users to spend time reviewing, understanding, querying, and classifying geospatial data to solve problems with a spatial component. The document also outlines the key components, applications, related technologies, benefits, and basic functions of GIS systems.
This document provides an overview of Geographic Information Systems (GIS). It defines GIS as a system for capturing, storing, analyzing and displaying spatially referenced data. GIS links graphical map features to tabular attribute data. Spatial data can be represented as raster (grid cells) or vector (points, lines and polygons) formats. GIS performs functions like data input, storage, analysis including overlay and buffering, and output in maps and tables. Examples of GIS applications discussed include site selection, flight planning, facilities management, and military planning tools like battlefield visualization and convoy routing analysis.
GPS is a satellite-based navigation system that provides location data worldwide. It uses a constellation of satellites that orbit the Earth every 11 hours and 58 minutes, providing 24-hour 3D coverage. GPS is used for navigation, land surveying, tracking vehicles and individuals, and guiding missiles. GIS is a computer-based technology that stores, retrieves, maps, and analyzes geographic data for applications like transportation planning, environmental impact assessments, resource management, and disaster response. GIS integrates different data layers to allow analysis and visualization of spatial patterns, trends, and relationships.
The document provides an introduction to Geographic Information Systems (GIS) by defining what GIS is, explaining its components such as hardware, software, data, and people. It discusses the various types and applications of GIS including desktop GIS, web-based GIS, and geobrowsers. The document also outlines how GIS can be used across different fields and industries to analyze spatial data and information to help inform decisions.
This document provides an overview of geographic information systems (GIS). It defines GIS as a system that captures, stores, manipulates, analyzes and presents spatial or geographic data. The document outlines the history, need, types, principles, functions and components of GIS. It also discusses the applications of GIS in various fields such as agriculture, natural resource management, urban planning and more. In conclusion, the document states that GIS allows for efficient mapping of valuable assets and that researchers and users have important roles to play in advancing GIS science.
A geographic information system (GIS) allows users to capture, store, manipulate, analyze, manage and display spatial or geographical data. GIS integrates hardware, software and data to visualize relationships within mapped information. Key components include hardware, GIS software, data and people. There are two main data types - raster, which stores cell-based data like images, and vector, which represents discrete features using points, lines and polygons. GIS has evolved significantly since the 1960s and is now widely used across various fields and applications.
TYBSC IT PGIS Unit I Chapter I- Introduction to Geographic Information SystemsArti Parab Academics
A Gentle Introduction to GIS The nature of GIS: Some fundamental observations, Defining GIS, GISystems, GIScience and GIApplications, Spatial data and Geoinformation. The real world and representations of it: Models and modelling, Maps, Databases, Spatial databases and spatial analysis
This document provides an introduction to Geographic Information Systems (GIS) including definitions, components, and applications. It defines GIS as having three integrated parts: geographic, information, and systems. GIS combines hardware, software, data, people, and methods to capture, store, analyze, and display spatial data. Key applications of GIS include navigation, natural resource management, and environmental planning. The document also outlines the basic functions of GIS including capturing, storing, querying, analyzing, displaying, and presenting geographic data.
This document defines geographic information systems (GIS) and describes their key components and uses. GIS is defined as a technology that uses hardware, software and information management strategies to capture, store, analyze and display spatially-referenced data to improve decision-making. It involves a spatially-referenced computer database and applications software. GIS is unique in that it handles spatial data referenced by location, and connects activities based on spatial proximity. Common GIS applications include facilities management, environmental analysis, transportation routing, health analysis, and more.
Application of gis & rs in urban planning sathish1446
Remote sensing uses sensors aboard satellites or aircraft to acquire spatial, spectral and temporal data about objects without physical contact. This data is digitized and processed into images. GIS is a system that integrates hardware, software and data to capture, store, analyze and display spatial or geographic information. Remote sensing and GIS are useful tools for urban planning applications such as land use/cover mapping, environmental monitoring, updating basemaps, studying urban growth, transportation systems, and site suitability analysis. GIS allows for overlaying of maps, buffering, and route analysis to support zoning, land management, emergency response and other planning needs. Together, remote sensing and GIS provide timely, reliable spatial data and analysis functions for addressing challenges
GIS combines three key aspects: geography, information, and systems. It allows users to integrate, analyze and display spatially referenced data on maps. GIS data comes in three main types - spatial data that indicates where features are located, attribute data that describes what features are, and topological data that shows how features are connected to each other spatially. Together these data types allow GIS to answer questions about location, conditions, trends, routing, patterns, and scenarios. GIS has a wide range of applications across many domains and industries.
1_GEOGRAPHIC INFORMATION SYSTEMSTEM.pptxLaleanePale
A geographic information system (GIS) is a framework for gathering, managing, and analyzing spatial data. GIS integrates data from various sources and organizes it into visualizations using maps and 3D scenes. This reveals patterns and relationships in the data to help users make better decisions. Key components of a GIS include hardware, software, people, data, and methods. Data comes in vector, raster, and tabular forms from various sources like maps, images, surveys, and databases. Common data input techniques are converting existing digital data, coordinate geometry, scanning, and digitizing.
This document provides an overview of Geographic Information Systems (GIS). It defines GIS as a system for capturing, storing, integrating, manipulating, analyzing and displaying spatially referenced data about the Earth. The key components of a GIS are described as hardware, software, data, people, and methods. The document outlines the GIS process of linking databases and maps to answer questions about location and spatial relationships. It also discusses GIS functions like data capture, storage, display, editing, analysis and visualization. Common GIS data sources and operations are briefly mentioned, along with sample questions and answers about GIS.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
This document provides an overview of geographic information systems (GIS) and their applications in public health. It discusses the history and development of GIS from the earliest uses in epidemiology in the 1800s to modern digital systems. Key aspects of GIS covered include data representation methods, uncertainties, terminology, and limitations. The document also outlines several important uses of GIS in public health such as mapping disease distribution and identifying at-risk populations.
This document provides an overview of Geographic Information Systems (GIS) including definitions, history, components, data types, functions, applications, supporting technologies, and benefits. It defines GIS as a computerized system for capturing, storing, manipulating, analyzing, managing and presenting geographically referenced data. The key components of a GIS are identified as hardware, software, data, people, and methods. Examples of how GIS can help solve geographic problems for government, transportation, and commercial applications are also provided.
The document discusses the application of remote sensing and geographical information systems (GIS) in civil engineering. It provides definitions of remote sensing as remotely sensing objects on Earth and GIS as a system to capture, store, analyze and present geographically referenced data. The document outlines some basic concepts of GIS including its origins from technologies like computer-aided cartography and databases. It also discusses data types in GIS like spatial data, attributes and different data models. Common software, functional elements and applications of GIS in areas like facilities management and environmental planning are summarized as well.
Application of gis and remote sensing in agricultureRehana Qureshi
This document summarizes the applications of remote sensing and GIS in agriculture as presented by Rehana Khaliq. It discusses how GIS systems capture and analyze geospatial data to integrate information and perform analysis. Remote sensing is defined as obtaining information about objects without physical contact using sensors. The document outlines how remote sensing and GIS have been applied to agriculture for tasks like crop mapping and monitoring, yield estimation, and precision agriculture. It also discusses their applications in forestry, land use mapping, and urban planning. While remote sensing provides valuable data, it notes that measurement errors and data interpretation can sometimes be challenging. In conclusion, the document argues that remote sensing and GIS are promising tools to enhance sustainable agriculture and development through
The document provides an overview of geographical information systems (GIS). It defines GIS as a system for capturing, storing, manipulating, analyzing and presenting spatial or geographic data. It describes the core components of GIS as hardware, software, data, people and methods. It outlines several applications of GIS in fields such as agriculture, natural resource management, transportation, military, business and more. It also discusses concepts such as data types, map scale and resolution, and key GIS terminologies.
The document provides an overview of geographical information systems (GIS). It defines GIS as a system for capturing, storing, manipulating, analyzing and presenting spatial or geographic data. It describes the core components of GIS as hardware, software, data, people and methods. It outlines several applications of GIS in fields such as agriculture, natural resource management, transportation, military, business and more. It also discusses concepts such as data types, map scale and resolution, and provides examples of GIS terminology.
This document provides an overview of a Geographic Information Systems (GIS) course. It defines GIS as a computer tool that combines database and mapping technologies to create maps where every point, line, or polygon is connected to a database. GIS allows users to spend time reviewing, understanding, querying, and classifying geospatial data to solve problems with a spatial component. The document also outlines the key components, applications, related technologies, benefits, and basic functions of GIS systems.
This document provides an overview of Geographic Information Systems (GIS). It defines GIS as a system for capturing, storing, analyzing and displaying spatially referenced data. GIS links graphical map features to tabular attribute data. Spatial data can be represented as raster (grid cells) or vector (points, lines and polygons) formats. GIS performs functions like data input, storage, analysis including overlay and buffering, and output in maps and tables. Examples of GIS applications discussed include site selection, flight planning, facilities management, and military planning tools like battlefield visualization and convoy routing analysis.
GPS is a satellite-based navigation system that provides location data worldwide. It uses a constellation of satellites that orbit the Earth every 11 hours and 58 minutes, providing 24-hour 3D coverage. GPS is used for navigation, land surveying, tracking vehicles and individuals, and guiding missiles. GIS is a computer-based technology that stores, retrieves, maps, and analyzes geographic data for applications like transportation planning, environmental impact assessments, resource management, and disaster response. GIS integrates different data layers to allow analysis and visualization of spatial patterns, trends, and relationships.
The document provides an introduction to Geographic Information Systems (GIS) by defining what GIS is, explaining its components such as hardware, software, data, and people. It discusses the various types and applications of GIS including desktop GIS, web-based GIS, and geobrowsers. The document also outlines how GIS can be used across different fields and industries to analyze spatial data and information to help inform decisions.
This document provides an overview of geographic information systems (GIS). It defines GIS as a system that captures, stores, manipulates, analyzes and presents spatial or geographic data. The document outlines the history, need, types, principles, functions and components of GIS. It also discusses the applications of GIS in various fields such as agriculture, natural resource management, urban planning and more. In conclusion, the document states that GIS allows for efficient mapping of valuable assets and that researchers and users have important roles to play in advancing GIS science.
A geographic information system (GIS) allows users to capture, store, manipulate, analyze, manage and display spatial or geographical data. GIS integrates hardware, software and data to visualize relationships within mapped information. Key components include hardware, GIS software, data and people. There are two main data types - raster, which stores cell-based data like images, and vector, which represents discrete features using points, lines and polygons. GIS has evolved significantly since the 1960s and is now widely used across various fields and applications.
TYBSC IT PGIS Unit I Chapter I- Introduction to Geographic Information SystemsArti Parab Academics
A Gentle Introduction to GIS The nature of GIS: Some fundamental observations, Defining GIS, GISystems, GIScience and GIApplications, Spatial data and Geoinformation. The real world and representations of it: Models and modelling, Maps, Databases, Spatial databases and spatial analysis
This document provides an introduction to Geographic Information Systems (GIS) including definitions, components, and applications. It defines GIS as having three integrated parts: geographic, information, and systems. GIS combines hardware, software, data, people, and methods to capture, store, analyze, and display spatial data. Key applications of GIS include navigation, natural resource management, and environmental planning. The document also outlines the basic functions of GIS including capturing, storing, querying, analyzing, displaying, and presenting geographic data.
This document defines geographic information systems (GIS) and describes their key components and uses. GIS is defined as a technology that uses hardware, software and information management strategies to capture, store, analyze and display spatially-referenced data to improve decision-making. It involves a spatially-referenced computer database and applications software. GIS is unique in that it handles spatial data referenced by location, and connects activities based on spatial proximity. Common GIS applications include facilities management, environmental analysis, transportation routing, health analysis, and more.
Application of gis & rs in urban planning sathish1446
Remote sensing uses sensors aboard satellites or aircraft to acquire spatial, spectral and temporal data about objects without physical contact. This data is digitized and processed into images. GIS is a system that integrates hardware, software and data to capture, store, analyze and display spatial or geographic information. Remote sensing and GIS are useful tools for urban planning applications such as land use/cover mapping, environmental monitoring, updating basemaps, studying urban growth, transportation systems, and site suitability analysis. GIS allows for overlaying of maps, buffering, and route analysis to support zoning, land management, emergency response and other planning needs. Together, remote sensing and GIS provide timely, reliable spatial data and analysis functions for addressing challenges
GIS combines three key aspects: geography, information, and systems. It allows users to integrate, analyze and display spatially referenced data on maps. GIS data comes in three main types - spatial data that indicates where features are located, attribute data that describes what features are, and topological data that shows how features are connected to each other spatially. Together these data types allow GIS to answer questions about location, conditions, trends, routing, patterns, and scenarios. GIS has a wide range of applications across many domains and industries.
1_GEOGRAPHIC INFORMATION SYSTEMSTEM.pptxLaleanePale
A geographic information system (GIS) is a framework for gathering, managing, and analyzing spatial data. GIS integrates data from various sources and organizes it into visualizations using maps and 3D scenes. This reveals patterns and relationships in the data to help users make better decisions. Key components of a GIS include hardware, software, people, data, and methods. Data comes in vector, raster, and tabular forms from various sources like maps, images, surveys, and databases. Common data input techniques are converting existing digital data, coordinate geometry, scanning, and digitizing.
This document provides an overview of Geographic Information Systems (GIS). It defines GIS as a system for capturing, storing, integrating, manipulating, analyzing and displaying spatially referenced data about the Earth. The key components of a GIS are described as hardware, software, data, people, and methods. The document outlines the GIS process of linking databases and maps to answer questions about location and spatial relationships. It also discusses GIS functions like data capture, storage, display, editing, analysis and visualization. Common GIS data sources and operations are briefly mentioned, along with sample questions and answers about GIS.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Home security is of paramount importance in today's world, where we rely more on technology, home
security is crucial. Using technology to make homes safer and easier to control from anywhere is
important. Home security is important for the occupant’s safety. In this paper, we came up with a low cost,
AI based model home security system. The system has a user-friendly interface, allowing users to start
model training and face detection with simple keyboard commands. Our goal is to introduce an innovative
home security system using facial recognition technology. Unlike traditional systems, this system trains
and saves images of friends and family members. The system scans this folder to recognize familiar faces
and provides real-time monitoring. If an unfamiliar face is detected, it promptly sends an email alert,
ensuring a proactive response to potential security threats.
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Transcat
Join us for this solutions-based webinar on the tools and techniques for commissioning and maintaining PV Systems. In this session, we'll review the process of building and maintaining a solar array, starting with installation and commissioning, then reviewing operations and maintenance of the system. This course will review insulation resistance testing, I-V curve testing, earth-bond continuity, ground resistance testing, performance tests, visual inspections, ground and arc fault testing procedures, and power quality analysis.
Fluke Solar Application Specialist Will White is presenting on this engaging topic:
Will has worked in the renewable energy industry since 2005, first as an installer for a small east coast solar integrator before adding sales, design, and project management to his skillset. In 2022, Will joined Fluke as a solar application specialist, where he supports their renewable energy testing equipment like IV-curve tracers, electrical meters, and thermal imaging cameras. Experienced in wind power, solar thermal, energy storage, and all scales of PV, Will has primarily focused on residential and small commercial systems. He is passionate about implementing high-quality, code-compliant installation techniques.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Open Channel Flow: fluid flow with a free surfaceIndrajeet sahu
Open Channel Flow: This topic focuses on fluid flow with a free surface, such as in rivers, canals, and drainage ditches. Key concepts include the classification of flow types (steady vs. unsteady, uniform vs. non-uniform), hydraulic radius, flow resistance, Manning's equation, critical flow conditions, and energy and momentum principles. It also covers flow measurement techniques, gradually varied flow analysis, and the design of open channels. Understanding these principles is vital for effective water resource management and engineering applications.
Accident detection system project report.pdfKamal Acharya
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
1. Fundamentals
Dr. Ronald Briggs
The University of Texas at Dallas
Program in Geospatial Information Sciences
http://www.utdallas.edu/~briggs/gisc6381.html
(Geographic Information Systems)
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Personal Nuts and Bolts
• Dr. Ronald Briggs
• Office: Green 3.212
• Phone: 972-883-6877 (o), 972-345-6918 (cell)
• Office hours:
– Tues 6:30-7:00;
– Tues/Wed 3:00-4:00
– by appointment (send e-mail)
– feel free to drop-in; I’m on campus most days (except Friday)
• Email: briggs@utdallas.edu or rbriggs@utdallas.edu
• Web: www.utdallas.edu/~briggs/gisc6381.html
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Course Nuts and Bolts
Texts
– Longley, Goodchild, Maguire, Rhind Geographic Information
Systems and Science 2nd Ed. Wiley, 2005
– Software & Training: Gorr and Kurland GIS Tutorial: Workbook
for ArcView 9 ESRI Press 2005 (includes 9.1 software)
• or Ormsby, et. al, Getting to Know ArcGIS Desktop 2nd Ed. (ESRI
Press, 2004) (includes 9.2 software on latest version)
– Alternatives to Longley:
• Chang, Introduction to GIS McGraw-Hill, 3rd ed. 2006 (used also
in GISC 6384)
• Lo, C.P. and Albert Yeung Concepts and Techniques of GIS Prentice
Hall, 2nd Ed. 2006 (best technical intro.)
• Worboys, Michael GIS: A Computing Perspective Taylor & Francis,
2nd Ed 2004 (Computational focus)
Evaluation
– midterm exam (35%) (“T/F with explanation”)
– final exam (40%) (“T/F with explanation”)
– five lab exercises (25% total).
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GIS--What is it?
No easy answer anymore!
• Geographic/Geospatial Information
– information about places on the earth’s surface
– knowledge about “what is where when”
(Don’t forget time!)
– Geographic/geospatial: synonymous
• GIS--what’s in the S?
– Systems: the technology
– Science: the concepts and theory
– Studies: the societal context
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Geographic Information Technologies
• Global Positioning Systems (GPS)
– a system of earth-orbiting satellites which can provide precise
(100 meter to sub-cm.) location on the earth’s surface (in lat/long
coordinates or equiv.)
• Remote Sensing (RS)
– use of satellites or aircraft to capture information about the
earth’s surface
– Digital ortho images a key product (map accurate digital photos)
• Geographic Information Systems (GISy)
– Software systems with capability for input, storage,
manipulation/analysis and output/display of geographic (spatial)
information
GPS and RS are sources of input data for a GISy.
A GISy provides for storing and manipulating GPS and RS data.
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GI Systems, Science and Studies
Which will we do?
• Systems
– technology for the acquisition and management of spatial information
The focus of this course (GISC 6381 GIS Fundamentals)
• Science
– comprehending the underlying conceptual issues of representing data and
processes in space-time
– the theory and concepts behind the technology
Introduce enough of the science to apply the systems correctly and understand their
capabilities and limitations
• Studies
– understanding the social, legal and ethical issues associated with the application
of GISy and GISc
Discuss societal implications primarily in GISC 6383 (GIS Management and
Implementation), and in GISC 6381 (GIS Fund) as they arise
Combine hands-on technical training with an understanding of the
underlying science, and an emphasis on multidisciplinary applications
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Defining Geographic Information Systems
(GIS)
• The common ground between information processing and
the many fields using spatial analysis techniques.
(Tomlinson, 1972)
• A powerful set of tools for collecting, storing, retrieving,
transforming, and displaying spatial data from the real
world. (Burroughs, 1986)
• A computerised database management system for the
capture, storage, retrieval, analysis and display of spatial
(locationally defined) data. (NCGIA, 1987)
• A decision support system involving the integration of
spatially referenced data in a problem solving
environment. (Cowen, 1988)
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An Inelegant Definition for GISy
A system of integrated computer-based tools for end-to-
end processing (capture, storage, retrieval, analysis,
display) of data using location on the earth’s surface
for interrelation in support of operations
management, decision making, and science.
• set of integrated tools for spatial analysis
• encompasses end-to-end processing of data
– capture, storage, retrieval, analysis/modification, display
• uses explicit location on earth’s surface to relate data
• aimed at decision support, as well as on-going operations and
scientific inquiry
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Geographic Information System:
intuitive description
• A map with a database behind it.
• A virtual representation of the
real world and its infrastructure.
• A consistent “as-built” of the
real world, natural and manmade
Which is
• queried to support on-going
operations
• summarized to support strategic
decision making and policy
formulation
• analyzed to support scientific
inquiry
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How GIS differs from Related Systems
• DBMS--typical MIS data base contains implicit but not explicit locational information
– city, county, zip code, etc. but no geographical coordinates
– is 100 N. High around the corner or across town from 200 E Main?
• automated mapping (AM) --primarily two-dimensional display devices
– thematic mapping (choropleth,etc such as SAS/GRAPH, DIDS, business mapping
software) unable to relate different geographical layers (e.g zip codes and counties)
– automated cartography--graphical design oriented; limited database ability
• facility management (FM) systems--
– lack spatial analysis tools
• CAD/CAM (computer aided design/drafting)--primarily 3-D graphic
creation (engineering design) & display systems
– don’t reference via geographic location
• CAD sees the world as a 3-D cube, GIS as a 3-D sphere
– limited (if any) database ability (especially for non-spatial data)
• scientific visualization systems--sophisticated multi-dimensional graphics, but:
– lack database support
– lack two-dimensional spatial analysis tools
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Why Study GIS?
• 80% of local government activities estimated to be geographically based
– plats, zoning, public works (streets, water supply, sewers), garbage collection, land
ownership and valuation, public safety (fire and police)
• a significant portion of state government has a geographical component
– natural resource management
– highways and transportation
• businesses use GIS for a very wide array of applications
– retail site selection & customer analysis
– logistics: vehicle tracking & routing
– natural resource exploration (petroleum, etc.)
– precision agriculture
– civil engineering and construction
• Military and defense
– Battlefield management
– Satellite imagery interpretation
• scientific research employs GIS
– geography, geology, botany
– anthropology, sociology, economics, political science
– Epidemiology, criminology
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Where Most UT-D Students Come From/Go To
The major areas of GIS application
• Local Government
– Public works/infrastructure management (roads, water, sewer)
– Planning and environmental management
– property records and appraisal
• Real Estate and Marketing
– Retail site selection, site evaluation
• Public safety and defense
– Crime analysis, fire prevention, emergency management, military/defense
• Natural resource exploration/extraction
– Petroleum, minerals, quarrying
• Transportation
– Airline route planning, transportation planning/modeling
• Public health and epidemiology
• The Geospatial Industry
– Data development, application development, programming
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Examples of Applied GIS
• Urban Planning, Management &
Policy
– Zoning, subdivision planning
– Land acquisition
– Economic development
– Code enforcement
– Housing renovation programs
– Emergency response
– Crime analysis
– Tax assessment
• Environmental Sciences
– Monitoring environmental risk
– Modeling stormwater runoff
– Management of watersheds,
floodplains, wetlands, forests, aquifers
– Environmental Impact Analysis
– Hazardous or toxic facility siting
– Groundwater modeling and
contamination tracking
• Political Science
– Redistricting
– Analysis of election results
– Predictive modeling
• Civil Engineering/Utility
– Locating underground facilities
– Designing alignment for freeways, transit
– Coordination of infrastructure maintenance
• Business
– Demographic Analysis
– Market Penetration/ Share Analysis
– Site Selection
• Education Administration
– Attendance Area Maintenance
– Enrollment Projections
– School Bus Routing
• Real Estate
– Neighborhood land prices
– Traffic Impact Analysis
– Determination of Highest and Best Use
• Health Care
– Epidemiology
– Needs Analysis
– Service Inventory
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What GIS Applications Do:
manage, analyze, communicate
• make possible the automation of activities involving geographic data
– map production
– calculation of areas, distances, route lengths
– measurement of slope, aspect, viewshed
– logistics: route planning, vehicle tracking, traffic management
• allow for the integration of data hitherto confined to independent domains
(e.g property maps and air photos).
• by tieing data to maps, permits the succinct communication of complex
spatial patterns (e.g environmental sensitivity).
• provides answers to spatial queries (how many elderly in Richardson live
further than 10 minutes at rush hour from ambulance service?)
• perform complex spatial modelling (what if scenarios for transportation
planning, disaster planning, resource management, utility design)
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GIS System Architecture and Components
Data Input
Query Input
Geographic
Database
Output: Display
and Reporting
Transformation
and Analysis
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Knowledge Base for GIS
GIS
Application Area:
public admin.
planning
geology
mineral exploration
forestry
site selection
marketing
civil engineering
criminal justice
surveying
Computer
Science/MIS
graphics
visualization
database
system administration
security
Geography
and related:
cartography
geodesy
photogrammetry
landforms
spatial statistics.
The convergence of technological
fields and traditional disciplines.
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The GIS Data Model: Purpose
• allows the geographic features in real
world locations to be digitally represented
and stored in a database so that they can be
abstractly presented in map (analog) form,
and can also be worked with and
manipulated to address some problem
(see associated diagrams)
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The GIS Data Model: Implementation
Geographic Integration of Information
Digital Orthophoto
Streets
Hydrography
Parcels
Buildings
Zoning
Utilities
Administrative Boundaries
• Data is organized by layers, coverages or themes (synonomous
concepts), with each layer representing a common feature.
• Layers are integrated using explicit location on the earth’s
surface, thus geographic location is the organizing principal.
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The GIS Model: example
roads
hydrology
topography
Here we have three layers or themes:
--roads,
--hydrology (water),
--topography (land elevation)
They can be related because precise geographic
coordinates are recorded for each theme.
longitude
longitude
longitude
Layers are comprised of two data types
•Spatial data which describes location (where)
•Attribute data specifing what, how much,when
Layers may be represented in two ways:
•in vector format as points and lines
•in raster(or image) format as pixels
All geographic data has 4 properties:
projection, scale, accuracy and resolution
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Spatial and Attribute Data
• Spatial data (where)
– specifies location
– stored in a shape file, geodatabase or similar geographic file
• Attribute (descriptive) data (what, how much, when)
– specifies characteristics at that location, natural or human-
created
– stored in a data base table
GIS systems traditionally maintain spatial and attribute data
separately, then “join” them for display or analysis
– for example, in ArcView, the Attributes of … table is used to
link a shapefile (spatial structure) with a data base table
containing attribute information in order to display the attribute
data spatially on a map
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Representing Data with Raster and Vector Models
Raster Model
• area is covered by grid with (usually) equal-sized, square cells
• attributes are recorded by assigning each cell a single value
based on the majority feature (attribute) in the cell, such as land
use type.
• Image data is a special case of raster data in which the “attribute”
is a reflectance value from the geomagnetic spectrum
– cells in image data often called pixels (picture elements)
• Vector Model
The fundamental concept of vector GIS is that all geographic
features in the real work can be represented either as:
• points or dots (nodes): trees, poles, fire plugs, airports, cities
• lines (arcs): streams, streets, sewers,
• areas (polygons): land parcels, cities, counties, forest, rock type
Because representation depends on shape, ArcView refers to files containing
vector data as shapefiles
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0 1 2 3 4 5 6 7 8 9
0 R T
1 R T
2 H R
3 R
4 R R
5 R
6 R T T H
7 R T T
8 R
9 R
Real World
Vector Representation
Raster Representation
Concept of
Vector and Raster
line
polygon
point
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Images—dumb rasters
(although they look good!)
Smart Raster—5 feet grids
Smart Vector—Pavement polygons
Dumb Images
& Smart GIS Data
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Projection, Scale, Accuracy and Resolution
the key properties of spatial data
• Projection: the method by which the curved 3-D surface of the
earth is represented by X,Y coordinates on a 2-D flat map/screen
– distortion is inevitable
• Scale: the ratio of distance on a map to the equivalent distance on
the ground
– in theory GIS is scale independent but in practice there is an implicit range of
scales for data output in any project
• Accuracy: how well does the database info match the real world
– Positional: how close are features to their real world location?
– Consistency: do feature characteristics in database match those in real world
• is a road in the database a road in the real world?
– Completeness: are all real world instances of features present in the database?
• Are all roads included.
• Resolution: the size of the smallest feature able to be recognized
– for raster data, it is the pixel size
The tighter the specification, the higher the cost.
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Street Network layer: lines Land Parcels layer: polygons
Raster (image) Layer
Digital Ortho Photograph Layer:
Digital Ortho photo: combines the
visual properties of a photograph
with the positional accuracy of a
map, in computer readable form.
Vector
Layers
Layers
Projection: State Plane, North Central Texas Zone, NAD 83
Resolution: 0.5 meters
Accuracy: 1.0 meters
Scale: see scale bar
0 1500 3000 Feet
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Parcels within a half mile buffer of Park and Central
Photographic Image
Scanned Drawing
Analysis
Data Table
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Anatomy of a GIS Database:
City of Plano
Vector Layers
Attribute Tables
Raster
Layers
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Course Content
Part I: Overview
• Fundamentals of GIS
• Hands-on Intro to ArcGIS
– (lab sessions @ 1:00-4:00 or
7:00-10:00pm in GR 3.602)
Part II: Principles
• Terrestrial data structures
– representing the real world
• GIS Data Structures
– representing the world in a
computer
• Data Quality
– An essential ingredient
Part III: Practice
• Data Input: preparation,
integration, and editing
• Data analysis and
modeling
• Data output and
application examples
Part IV: The Future
• Future of GIS
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Hands-on Projects
• Locating a Day-care
– intro to GIS capabilities
– illustration of a major application: site selection
• Texas Demographic growth
– manipulation of data and mapping principles
– another major application: analysis of spatial patterns with polygon data
• Geocoding Housing Sales, or Analyzing Earthquake Locations
– techniques and data requirements for geocoding and point patterns
– another application: geocoding/address matching
• Creating a Census Tract layer, or a Geological Map
– editing and creating topologically consistent data
– how new data layers can be created
• Pipeline Routing
– data selection, buffering and spatial analysis
– another major application: corridor studies
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Next Week
An Introduction to GIS Software
Meet @ 7:00
on Tuesday in GR 3.602
or on Wednesday in GR 3.206
If you have already got your UTD “netid” be sure to bring it and your
password. Otherwise, we will get you set up when we meet.
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Software for GIS: The Main Players
• ESRI, Inc., Redlands, CA
– clear market leader with about a third of the market
– originated commercial GIS with their ArcInfo product in 1981
– privately owned by Jack Dangermond, a legend in the field
– Strong in gov., education, utilities and business logistics
• MapInfo, Troy N.Y.
– Aggressive newcomer in early 1990s, but now well-established.
– Strong presence in business, especially site selection & marketing, and telecom
• Intergraph (Huntsville, AL)
– origins in proprietary CAD hardware/software
– Older UNIX-based MGE (Modular GIS Environment) evolved from CAD
– Current GeoMedia was the first true MS Windows-based GIS
– strong in design, public works, and FM (facilities management), but weakening
• Bentley Systems (Exton, PA)
– MicroStation GeoGraphics, originally developed with Intergraph, is now their exclusive and
main product..
– Strong in engineering; advertises itself as “geoengineering”
• Autodesk (San Rafael, CA)
– Began as PC-based CAD, but now the dominant CAD supplier
– First GIS product AutoCAD Map introduced in 1996
– Primarily small business/small city customer base
The main two
“pure GIS”
companies.
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Software for GIS: other players
Vector GIS
• Smallworld Systems
(Englewood, CO)
– first to use OO (early ‘90s),
but failed to compete as
established vendors did same
– Purchased by GE in 2000
– emphasis on FM & utilities
• Manifold
(CDA International Corp):
– low cost, but low market
share
• Maptitude
(Caliper Corp, Newton, MA):
– another low cost one
Raster GIS
• ERDAS/Imagine
– long established leader
– acquired by Leica Geosystems in 2001
• ER MAPPER
– aggressive newcomer originating in Australia
• Envi,
– relative newcomer, radar specialization
– acquired by Kodak in 2000
• PCI--Geomatica
– long-term Canadian player
• CARIS
– newer Canadian entry
• GRASS (Rutgers Univ.)
– Classic old-timer originally developed by US
Army Construction Engineering Research
Lab(CERL) in Champaign, IL;
– army ended dev. & support in 1996 but
assumed by Baylor University.
• IDRSI (Clark Univ)
– pioneering, university-developed package
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ESRI Product Line-up: ArcGIS client products (Fall 2007)
ArcReader (“adobe acrobat” for maps) & ArcExplorer (spatial data viewer)
– Free viewers for geographic data.
ArcGIS 9.x Desktop: two primary modules (MS only)
1. ArcMap: for data display, map production, spatial analysis, data editing
2. ArcCatalog: for data management and preview
ArcToolbox, for specialized data conversions and analyses, available as a window in both
Available capabilities within these modules are “tiered” in three levels
• ArcView: viewing, map production, spatial analysis, basic editing:
• ArcEditor: ArcView, plus specialized editing:
• ArcInfo: ArcView & ArcEditor plus special analyses and conversions:
Extensions: for special apps.: Spatial Analyst, 3D Analyst, Geostatistics, Business Analyst, etc.
ArcObjects: to build specialized capabilities within ArcMap or ArcCatalog using VB for Applications
ArcGIS Workstation (for UNIX and MS)
– the old command line ArcInfo 7.1
ArcGIS Engine (MS NT/2000/XP)
– Set of embeddable GIS components (ArcObjects software objects) for use in building custom
applications
– Runs under Windows, Unix and Linux, with support for Java, C++, COM and .NET
– Replaces MapObjects which were based upon a previous generation of GIS objects
Notes:
ArcView 3.3 the only GUI option for UNIX.
ArcGIS 8 released 2000 to integrate two previous standalone products: ArcView and ArcInfo
ArcGIS 9 released 2004 providing the full capability that should have been in ArcGIS 8!!!
--full support for all data types (coverages, shapefiles, geodatabases)
--full support for all previous geoprocessing analyses
--Modelbuilder for scripting and repetitive processing
--ArcEngine for building custom applications
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ArcGIS Server: three tiers of capability
Data services: ArcSDE (Spatial Database Engine)
• middleware to support spatial data storage in standard DBMS on server
• Supports all major industry databases:
– Oracle, SQL-Server, IBM DB2, Ingres
Map services: ArcIMS (Internet Map Server)
• Provides maps and simple query to a user without a desktop GIS
• Accessed via web interface
Analytic services:
• Permits the creation of server-based specialized GIS applications
• Provides full range of GIS capabilities to a user without a desktop GIS
• Accessed via web interface
(prior to 9.2 these were sold as three separate products)
ArcGIS On-line Services
– On-line services made available on the Internet with a subscription
– Normally charged on a “per transaction” basis, but can be flat fee
– built and operated by ESRI (or other others), usually based on ArcGIS Server
ESRI Product Line-up: ArcGIS server products (Fall 2007)
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Future Generic GIS Internet Enterprise
Web Server
Databases
Broker
Browsers
Web
Applications
Services
( built on
.Net, SOAP/XML, Java API)
Source: Reza Wahadj, CSIG04, with mods.
Dallas Durban
Delhi