GIS is a system for storing, mapping, and analyzing spatial data. ArcGIS is a GIS software created by ESRI. It includes ArcCatalog for data management, ArcMap for visualization and analysis, and ArcToolbox for geoprocessing tools. ArcGIS uses both vector and raster data models to represent geographic features and imagery. It can store data in shapefiles, geodatabases, coverages, and other formats. ArcCatalog allows users to organize, search, and document their spatial data with metadata. ArcMap allows users to visualize, query, and analyze spatial data in layers.
Digitizing in GIS is the process of converting geographic data either from a hardcopy or a scanned image into vector data by tracing the features. During the digitzing process, features from the traced map or image are captured as coordinates in either point, line, or polygon format
Digitizing in GIS is the process of converting geographic data either from a hardcopy or a scanned image into vector data by tracing the features. During the digitzing process, features from the traced map or image are captured as coordinates in either point, line, or polygon format
DEFINITION :
GIS is a powerful set of tools for collecting, storing , retrieving at will, transforming and displaying spatial data from the real world for a particular set of purposes
APPLICATION AREAS OF GIS
Agriculture
Business
Electric/Gas utilities
Environment
Forestry
Geology
Hydrology
Land-use planning
Local government
Mapping
11. Military
12. Risk management
13. Site planning
14. Transportation
15. Water / Waste water industry
COMPONENTS OF GIS
DATA INPUT
SPATIAL DATA MODEL
Data Model:
It describes in an abstract way how the data is represented in an information system or in DBMS
Spatial Data Model :
The models or abstractions of reality that are intended to have some similarity with selected aspects of the real world
Creation of analogue and digital spatial data sets involves seven levels of model development and abstraction
SPATIAL DATA MODEL
Conceptual model : A view of reality
Analog model : Human conceptualization leads to analogue abstraction
Spatial data models : Formalization of analogue abstractions without any conventions
Database model : How the data are recorded in the computer
Physical computational model : Particular representation of the data structures in computer memory
Data manipulation model : Accepted axioms and rules for handling the data
SPATIAL DATA MODEL
SPATIAL DATA MODEL
Objects on the earth surface are shown as continuous and discrete objects in spatial data models
Types of data models
Raster data model
vector data models
RASTER DATA MODEL
Basic Elements :
Extent
Rows
Columns
Origin
Orientation
Resolution: pixel = grain = grid cell
Ex: Bit Map Image (BMP),Joint Photographic Expert Group (JPEG), Portable Network Graphics(PNG) etc
RASTER DATA MODEL
VECTOR DATA MODEL
Basic Elements:
Location (x,y) or (x,y,z)
Explicit, i.e. pegged to a coordinate system
Different coordinate system (and precision) require different values
o e.g. UTM as integer (but large)
o Lat, long as two floating point numbers +/-
Points are used to build more complex features
Ex: Auto CAD Drawing File(DWG), Data Interchange(exchange) File(DXF), Vector Product Format (VPF) etc
VECTOR DATA MODEL
RASTER vs VECTORRaster is faster but Vector is corrector
TESSELLATIONS OF CONTINUOUS FIELDS
Triangular Irregular Network: (TIN)
TIN is a vector data structure for representing geographical information that is continuous
Digital elevation model
TIN is generally used to create Digital Elevation Model (DEM)
DIGITAL ELEVATION MODEL
DATA STRUCTURES
Data structure tells about how the data is stored
Data organization in raster data structures
Each cell is referenced directly
Each overlay Is referenced directly
Each mapping unit is referenced directly
Each overlay is separate file with general header
Digitizing in GIS is the process of converting geographic data either from a hardcopy or a scanned image into vector data by tracing the features. During the digitzing process, features from the traced map or image are captured as coordinates in either point, line, or polygon format.
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
Geographical Information System (GIS) Georeferencing and Digitization, Bihar ...Kamlesh Kumar
This work is an effort to share Geographical Information System: Georeferencing, digitization and map making steps through QGIS 2.0.1
Georeferencing
Digitization of Topographical sheet
Point
Line
Area
Bihar Map
District Headquarters
Railway of Bihar
District Boundaries
Thematic Maps (Literacy & Sex Ratio)
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 work is an effort to share Geographical Information System:
This presentation will present you both ways to geo reference image:
1. Raw image by X,Y coordinates
2. Image to Image referencing
DEFINITION :
GIS is a powerful set of tools for collecting, storing , retrieving at will, transforming and displaying spatial data from the real world for a particular set of purposes
APPLICATION AREAS OF GIS
Agriculture
Business
Electric/Gas utilities
Environment
Forestry
Geology
Hydrology
Land-use planning
Local government
Mapping
11. Military
12. Risk management
13. Site planning
14. Transportation
15. Water / Waste water industry
COMPONENTS OF GIS
DATA INPUT
SPATIAL DATA MODEL
Data Model:
It describes in an abstract way how the data is represented in an information system or in DBMS
Spatial Data Model :
The models or abstractions of reality that are intended to have some similarity with selected aspects of the real world
Creation of analogue and digital spatial data sets involves seven levels of model development and abstraction
SPATIAL DATA MODEL
Conceptual model : A view of reality
Analog model : Human conceptualization leads to analogue abstraction
Spatial data models : Formalization of analogue abstractions without any conventions
Database model : How the data are recorded in the computer
Physical computational model : Particular representation of the data structures in computer memory
Data manipulation model : Accepted axioms and rules for handling the data
SPATIAL DATA MODEL
SPATIAL DATA MODEL
Objects on the earth surface are shown as continuous and discrete objects in spatial data models
Types of data models
Raster data model
vector data models
RASTER DATA MODEL
Basic Elements :
Extent
Rows
Columns
Origin
Orientation
Resolution: pixel = grain = grid cell
Ex: Bit Map Image (BMP),Joint Photographic Expert Group (JPEG), Portable Network Graphics(PNG) etc
RASTER DATA MODEL
VECTOR DATA MODEL
Basic Elements:
Location (x,y) or (x,y,z)
Explicit, i.e. pegged to a coordinate system
Different coordinate system (and precision) require different values
o e.g. UTM as integer (but large)
o Lat, long as two floating point numbers +/-
Points are used to build more complex features
Ex: Auto CAD Drawing File(DWG), Data Interchange(exchange) File(DXF), Vector Product Format (VPF) etc
VECTOR DATA MODEL
RASTER vs VECTORRaster is faster but Vector is corrector
TESSELLATIONS OF CONTINUOUS FIELDS
Triangular Irregular Network: (TIN)
TIN is a vector data structure for representing geographical information that is continuous
Digital elevation model
TIN is generally used to create Digital Elevation Model (DEM)
DIGITAL ELEVATION MODEL
DATA STRUCTURES
Data structure tells about how the data is stored
Data organization in raster data structures
Each cell is referenced directly
Each overlay Is referenced directly
Each mapping unit is referenced directly
Each overlay is separate file with general header
Digitizing in GIS is the process of converting geographic data either from a hardcopy or a scanned image into vector data by tracing the features. During the digitzing process, features from the traced map or image are captured as coordinates in either point, line, or polygon format.
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
Geographical Information System (GIS) Georeferencing and Digitization, Bihar ...Kamlesh Kumar
This work is an effort to share Geographical Information System: Georeferencing, digitization and map making steps through QGIS 2.0.1
Georeferencing
Digitization of Topographical sheet
Point
Line
Area
Bihar Map
District Headquarters
Railway of Bihar
District Boundaries
Thematic Maps (Literacy & Sex Ratio)
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 work is an effort to share Geographical Information System:
This presentation will present you both ways to geo reference image:
1. Raw image by X,Y coordinates
2. Image to Image referencing
This was a group presentation for the course SI 622:Needs Assessment and Usability Testing, at the University of Michigan School of Information during the Winter of 2014. We conducted these interviews as part of our usability study for our client. We briefed the class on our client, methods, findings, recommendations, and takeaways from that portion of the project. .
Based on our artist portfolios, we offer print-ready digital art files: each prepared at the size you specify. These art-files then get printed by your preferred print-vendor, on the substrate you choose. All Rica Belna designs can be printed at least to 6 feet (2 meters). Our art has been executed on paper, canvas, wood, glass, metal, in Europe, the US and Asia. Learn more at www.ricabelna.com or www.petratrimmel.weebly.com
SUPERBURN is driven by Micron RD, a micronized rapid delivery technology. High "jet-like" air pressures are used to gently reduce the average particle size of the SUPERBURN formula to less than 20 microns. This micronization process enhances the total reactive surface area, which in turn supports faster speeds of delivery and onset of results.
We have been designing and manufacturing quality lampshades and lighting since 1978. View our catalog to browse some of our product selections to bring your business to life.
Dall'impiantistica alla tecnologia integrata per edifici: storia di una riorg...businessup
Presentazione di Dario Spinelli, presidente del CdA di Spinelli SA e di Ticicom SA, tenutasi il 12 Ottobre 2015 durante l'evento "Organizzazione e strategia aziendali vincenti e anticrisi". L'evento è stato organizzato da Business Up, AITI, Supsi e Gruppo Spinelli
Intro to Tools & Resources: UMSI Orientation Fall 2014Jackie Wolf
I ran a session during UMSI orientation that introduced incoming students to the tools we are accustomed to using as a Google Campus: Drive, Mail, Calendars, and other items.
A 6 hour design jam to come up with ideas for how to create more flexible and collaborative spaces at Shure. This was an example of sometimes high tech solutions not being the right ones.
Want to take advantage of GIS data without having a GIS department? Looking to reap the benefits of GIS data in your projects? This session will show you how to unleash the power of accessing and utilizing GIS data in the AutoCAD environment. We will delve into practical examples and explanations along with reviewing where and when to use each tool.
ArcGIS 10.2 includes additional and improved functionality for cartography. In this demonstration, I introduce enhancements to the software for mapmaking, including labeling, symbology, map elements, data management, and exporting. Improvements to the ArcGIS for Desktop interface are also shown.
Big Data visualization with Apache Spark and Zeppelinprajods
This presentation gives an overview of Apache Spark and explains the features of Apache Zeppelin(incubator). Zeppelin is the open source tool for data discovery, exploration and visualization. It supports REPLs for shell, SparkSQL, Spark(scala), python and angular. This presentation was made on the Big Data Day, at the Great Indian Developer Summit, Bangalore, April 2015
Similar to Lecture 1b introduction to arc gis (20)
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
The Internet of Things (IoT) is a revolutionary concept that connects everyday objects and devices to the internet, enabling them to communicate, collect, and exchange data. Imagine a world where your refrigerator notifies you when you’re running low on groceries, or streetlights adjust their brightness based on traffic patterns – that’s the power of IoT. In essence, IoT transforms ordinary objects into smart, interconnected devices, creating a network of endless possibilities.
Here is a blog on the role of electrical and electronics engineers in IOT. Let's dig in!!!!
For more such content visit: https://nttftrg.com/
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
2. What is GIS?
• Many definitions available
• System for display, storage, mapping, analysis of spatial data
• Many acronyms for GIS
• Geographic Information Systems
• Geographic Information Science
– Body of Knowledge
• Geographic Information Services, etc.
2
Sarfaraz Alam, sarfaraz_wre@yahoo.com
6. Data Models - 1
• How we represent real world
spatial phenomena
• Two main models:
• Vector
– Points (single x,y coordinate)
– Lines (strings of x,y coordinates)
– Polygons (closed string of x,y
coordinates)
• Raster
– A grid of (often) square-shaped
cells
– Individual cells together are used to
create a layer of points, lines and
areas
6
Sarfaraz Alam, sarfaraz_wre@yahoo.com
7. Data Models - 2
– Other models:
• Surfaces for 3D visualisation
• Networks (geometric, transportation)
7
Sarfaraz Alam, sarfaraz_wre@yahoo.com
8. ESRI Data Formats
• Coverages (vector) and GRIDs (raster)
– Consists of two folders:
• name of coverage or grid
• INFO directory
• Shapefiles
• Geodatabases
8
Examples of coverages in Windows File Explorer
Sarfaraz Alam, sarfaraz_wre@yahoo.com
9. Shapefiles
<filename>.shp stores the spatial or feature information
<filename>.dbf dBASE file contains attribute information about the
spatial features
<filename>.shx stores the index of the features
<filename>.sbn stores the spatial index of features
<filename>.sbx also stores information pertaining to the spatial index
of features
<filename>.prj contains projection information
Sarfaraz Alam, sarfaraz_wre@yahoo.com
10. Geodatabases
• Core ArcGIS data model
• A comprehensive model for
representing and managing geographic
data
• Personal Geodatabase
• Single user editing / multiple readers
• Stored in MS Access
• Size limit of 2 GB
• File Geodatabase
• Single user editing / multiple readers
• 1 TB per table
• Reduced storage requirements
• ArcSDE Geodatabase
• Stored in an Enterprise DBMS
• Supports multiuser editing via
versioning
• Requires ArcEditor or ArcInfo to edit
ArcGIS
Personal
Geodatabase
File
Geodatabase
ArcSDE
Geodatabase
Oracle
SQL Server
DB2
Informix
PostgreSQL
ArcSDE
Sarfaraz Alam, sarfaraz_wre@yahoo.com
18. Management tasks
• Copy, paste, delete, rename data
• Move to other locations
• Create new objects
• Connect to folders
18
Sarfaraz Alam, sarfaraz_wre@yahoo.com
19. Searching for Data
• Edit Search
• can search for geography or metadata
• can search using different parameters
• Name + physical location
• Geography
• Date
19
Sarfaraz Alam, sarfaraz_wre@yahoo.com
20. ArcCatalog Options
• Tools Options
• Manage ArcCatalog’s content
and behaviour
• Add new file types (e.g. ppt)
• Set font characteristics for
tables
• Set geoprocessing
environment
• Set metadata defaults
20
Sarfaraz Alam, sarfaraz_wre@yahoo.com
21. Metadata
• Descriptive information about data
• Content
• Quality
• Condition
• Origin
• Other characteristics
– But do you really need it?
• All GIS resources need metadata
– Spatial data
– Non-spatial data
21
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22. Metadata in ArcCatalog
•One-stop shop for all your metadata needs
•Oan create metadata for anything visible in the catalog
• ArcCatalog has the tools for working with it
• ToolsOptions Metadata tab
• Metadata toolbar for working with metadata
22
Sarfaraz Alam, sarfaraz_wre@yahoo.com
23. Create and update metadata
• Automatically
• Created first time an item’s metadata is viewed
• Updated whenever metadata is viewed in metadata tab
• Edit metadata button
• Manually
• Tools Options Metadata tab
• Create / Update metadata button
• Choose your stylesheet here
23
Sarfaraz Alam, sarfaraz_wre@yahoo.com
24. In Summary
ArcCatalog allows you to:
•Browse, manage and find spatial data
•Record, view and manage metadata
•Search for GIS data on local drives, networks and the
Web
•Define, import and export geodatabases and other
datasets
•Create and manage the schemas of geodatabases
•Administer ArcSDE geodatabases
•Administer an ArcGIS server
24
Sarfaraz Alam, sarfaraz_wre@yahoo.com
29. Tools Toolbar
29
Zoom outZoom in
Pan Go to full extent
Zoom out to a fixed extentZoom in to a fixed extent
Go to previous extent Go to next extent
Measure
Clear selected features
Select elements Identify
Find
Select features
Go to X-Y coordinate
Hyperlink
Sarfaraz Alam, sarfaraz_wre@yahoo.com