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.
basic concept of geographic data,GIS and its component,data acquisition ,raster, vector formats,spatial data,topology and data model data output ,GIS applications
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.
basic concept of geographic data,GIS and its component,data acquisition ,raster, vector formats,spatial data,topology and data model data output ,GIS applications
Topics:
1. Introduction to GIS
2. Components of GIS
3. Types of Data
4. Spatial Data
5. Non-Spatial Data
6. GIS Operations
7. Coordinate Systems
8. Datum
9. Map Projections
10. Raster Data Compression Techniques
11. GIS Software
12. Free GIS Data Resources
An introduction to GIS Data Types. Strengths and weaknesses of raster and vector data are discussed. Also covered is the importance of topology. Concludes with a discussion of the vector-based format of OpenStreetMap data.
This document help you to prepare Triangulation Network (TIN), Hillshade Map, Slope map, interpolation and Digital Elevation Model (DEM) in a area and how to interpret them.
What is GIS
Principle of GIS
Function of GIS
Components of GIS
Type of GIS
Advantages of GIS
Applications of GIS
Organisation of GIS
Data structure GIS
GIS is a computer system capable of assembling, storing, manipulating, and displaying geographically referenced information, i.e. data identified according to their location.
A GIS is an organised collection of computer hardware, software, geographic data , and personnel to efficiently capture , store, update, manipulate, analyze and display all forms of geographically referenced information.
Topics:
1. Introduction to GIS
2. Components of GIS
3. Types of Data
4. Spatial Data
5. Non-Spatial Data
6. GIS Operations
7. Coordinate Systems
8. Datum
9. Map Projections
10. Raster Data Compression Techniques
11. GIS Software
12. Free GIS Data Resources
An introduction to GIS Data Types. Strengths and weaknesses of raster and vector data are discussed. Also covered is the importance of topology. Concludes with a discussion of the vector-based format of OpenStreetMap data.
This document help you to prepare Triangulation Network (TIN), Hillshade Map, Slope map, interpolation and Digital Elevation Model (DEM) in a area and how to interpret them.
What is GIS
Principle of GIS
Function of GIS
Components of GIS
Type of GIS
Advantages of GIS
Applications of GIS
Organisation of GIS
Data structure GIS
GIS is a computer system capable of assembling, storing, manipulating, and displaying geographically referenced information, i.e. data identified according to their location.
A GIS is an organised collection of computer hardware, software, geographic data , and personnel to efficiently capture , store, update, manipulate, analyze and display all forms of geographically referenced information.
The present study evaluates the possibility of spatial heterogeneity in the effects on municipal-level crime rates of both demographic and socio-economic variables. Geoggraphically weighted regression (GWR) is used for exploring spatial heterogeneity and confirms that place matters.
Spatial analysis and Analysis Tools ( GIS )designQube
This is an academic presentation made to understand the role of spatial analysis in real urban designing. It also explores several analysis tools in GIS
In this study various techniques for exploratory spatial data analysis are reviewed : spatial autocorrelation, Moran's I statistic, hot spots analysis, spatial lag and spatial error models.
Human Terrain Analysis at George Mason University (DAY 1)Rich Heimann
First lecture in a three day class on Human Terrain Analysis. The lecture is a state of the discipline talk with historical and contemporary examples of HTA.
Application of GIS in Flood Hazard Mapping - GIS I Fundamentals - CEI40 - AGAAhmed Gamal Abdel Gawad
Contents of the presentation:
• Overview
• GIS Basics
• Water Resources Engineering
• GIS and Water Resources
• Flood Hazard Mapping
• Research Paper
• Flood mapping in ArcGIS
My special talk on 'GIS & Remote Sensing-Introduction to the Primer’ is a part of the 'Learn from the Leaders- 2' webinar series organized by IEEE SIGHT, Bombay section on May 25th, 2021
If you took a Geography course over 20 years ago, you might recall the subject involving little more than memorizing the locations of continents, countries, cities, as well as climate and cultural facts. In that time, many universities have expanded their geography programs by entering the world of Geographic Information Systems, or GIS for short. In the beginning GIS was an obscure field of specialized hardware, software, and cryptic keyboard commands that allowed a skilled professional to query data to get answers to geographic-based inquiries. Queries, such as the quantity of forested acres within an area, were the beginning of the geographicbased analysis revolution that has since unfolded. But today’s leading geography programs are teaching students more than just the where, what, who, and why of our world, but also bring to the table an interdisciplinary approach to solving today’s local, regional, national, and global problems. Many of these programs are not limited to just universities, now involving the K-12 space, tapping into young people’s minds to unleash innovative ideas in what is now an interdisciplinary field. To maintain a competitive advantage in today’s world, leading countries, companies, and research organizations are embracing these new capabilities and the talent that is available in the marketplace.
GIS (Geographic Information System): is computer assisted system used for collecting, storing, retrieving at will, transforming and displaying spatial data from the real world for a particular set of purpose.
Big Data Analytics: Discovering Latent Structure in Twitter; A Case Study in ...Rich Heimann
Big Social Data Analysis: Using location & Twitter to explore the tragic aftermath of the Sandy Hook Elementary School shooting.
The growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. Individuals produce data at an unprecedented rate by interacting, sharing, and consuming content through social media. However, analyzing this ever-growing pile of data is quite tricky and, if done erroneously, could lead to wrong inferences.
In this webinar you will gain, by example insights to mining social media data and exposing underlying latent structures relating to ideology and sentiment as well as space and time.
Human Terrain Analysis at George Mason University (DAY 1)Rich Heimann
First lecture in a three day class on Human Terrain Analysis. The lecture is a state of the discipline talk with historical and contemporary examples of HTA.
Human Terrain Analysis at George Mason University (DAY 1)Rich Heimann
First lecture in a three day class on Human Terrain Analysis. The lecture is a state of the discipline talk with historical and contemporary examples of HTA.
Data Tactics Data Science Brown Bag (April 2014)Rich Heimann
This is a presentation we perform internally every quarter as part of our Data Science Brown Bag Series. This presentation was talking about different types of soft clustering techniques - all of which the team currently performs depending on the complexity of the data and the complexity of customer problems. If you are interested in learning more about working with L-3 Data Tactics or interested in working for the L-3 Data Tactics Data Science team please contact us soon! Thank you.
Big Social Data: The Spatial Turn in Big Data (Video available soon on YouTube)Rich Heimann
Big Social Data: The Spatial Turn in Big Data
By Richard Heimann & Abe Usher
University of Maryland Baltimore County Webinar Description:
The increased access to spatial data and overall improved application of spatial analytical methods present certain potential to social scientific research. This webinar is designed to focus on substantive social science research perspectives while exposing rewards involved in the application of geographic information systems (GIS), Big Data, and spatial analytics in their own research.
What is witnessed as the hype of Web 2.0 has worn off and the collaborative use of the Internet becomes a societal norm is an unprecedented explosion in the creation and analysis of geospatial data. Just as major governments are reducing their investments in location intelligence, individuals and non-government organizations are fueling a bonfire of innovation in the world of GIS data.
Traditional spatial analyses grew up in an era of sparse data and very weak computational power. Today, both of those circumstances are reversed and many of the old solutions are no longer suitable to answer todays questions.
"Big Social Data: The Spatial Turn in Big Data" reflects this change and combines two things which, until recently, engaged quite different groups of researchers and practitioners. Together, they require particular techniques and a sophisticated understanding of the special problems associated with spatial social data. Geographic Data Mining, or Geographic Knowledge Discovery, is not new, but is developing and changing rapidly as both more, and different, data becomes available, and people see new applications. The days of ‘Big Data’ require fresh thinking.
The webinar will highlight connections between spatial concepts and data availability. New emerging social media data will be promoted over traditional social science data, which better reflect some of the more recently developments in Big Data - most notably the socially critical exploration of such data.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.