Prepared as part of the IT for Business Intelligence course of MBA @VGSOM, IIT Kharagpur. The tutorial describes how to create an interactive map using the open source software QGIS.
This document provides an overview of a GIS workshop that teaches important GIS concepts and how to use Quantum GIS (QGIS) open source software. The goal is for participants to understand basic GIS concepts, navigate the QGIS interface, add and prepare vector data, create thematic maps, and demonstrate competency with QGIS. The workshop covers installing and navigating QGIS, loading shapefiles, defining key GIS terms like layers and vectors/rasters, and downloading necessary plugins. Participants will learn how to load pre-existing shapefiles from sources like DIVA-GIS and explore the QGIS interface.
The document provides an introduction to ArcGIS. It outlines that it will discuss what GIS is, how geographic data is represented in GIS, how data is stored in ArcGIS, GIS maps, GIS analysis processes, what ArcGIS is, and planning a GIS project. It then proceeds to define GIS, explain how geographic data is modeled in vector and raster formats, describe how data is organized and stored in an ArcGIS geodatabase, discuss GIS mapping and visualization, and overview spatial analysis tools in ArcGIS.
GIS is a system for managing and analyzing geographic data. It uses two main data models: vector, representing points, lines and polygons; and raster, representing data as a grid of cells. Common file formats include shapefiles for vector data and GeoTIFF and MrSID for raster. GIS data is referenced using coordinate systems like WGS84 for global latitude/longitude or HK80Grid for Hong Kong. ESRI's ArcGIS software allows viewing, editing, and publishing this geospatial data for mapping and analysis.
This document discusses key principles of map design including selection of colors, symbols, labeling, and overall layout. It emphasizes that while there are scientific rules of map design, there is also an artistic element. The document outlines topics to be covered such as map scale and generalization, symbolization, choropleth mapping, use of color, and labeling. It provides guidelines for map elements like titles, legends, and orientation indicators. It also discusses classification schemes, issues with choropleth maps, effective use of color, and best practices for labeling and typography. Ethical practices of map design to avoid deception are highlighted.
This is most benificial for the First year Engineering students.This presentation consists of videos and many applications of GIS. The processes and the other parts of GIS is also nicely explained.
This Seminar presentation is made by Shrikrishna Kesharwani
1ST YEAR, Transportation engineering student
NIT WARANGAL
FOLLOW ME ON INSTAGRAM
@SHRIKRISHNAKESHARWANI
A Geographic Information System (GIS) integrates hardware, software and data to capture, store, query, analyze and display spatially-referenced information. A GIS links location data to descriptive attributes and allows users to create, edit, analyze and display map information on a computer. Key GIS functions include capturing data, storing data in both vector and raster formats, querying data, analyzing spatial relationships between data sets, displaying data visually, and outputting results in various formats like maps, reports and graphs.
This document provides an overview of a GIS workshop that teaches important GIS concepts and how to use Quantum GIS (QGIS) open source software. The goal is for participants to understand basic GIS concepts, navigate the QGIS interface, add and prepare vector data, create thematic maps, and demonstrate competency with QGIS. The workshop covers installing and navigating QGIS, loading shapefiles, defining key GIS terms like layers and vectors/rasters, and downloading necessary plugins. Participants will learn how to load pre-existing shapefiles from sources like DIVA-GIS and explore the QGIS interface.
The document provides an introduction to ArcGIS. It outlines that it will discuss what GIS is, how geographic data is represented in GIS, how data is stored in ArcGIS, GIS maps, GIS analysis processes, what ArcGIS is, and planning a GIS project. It then proceeds to define GIS, explain how geographic data is modeled in vector and raster formats, describe how data is organized and stored in an ArcGIS geodatabase, discuss GIS mapping and visualization, and overview spatial analysis tools in ArcGIS.
GIS is a system for managing and analyzing geographic data. It uses two main data models: vector, representing points, lines and polygons; and raster, representing data as a grid of cells. Common file formats include shapefiles for vector data and GeoTIFF and MrSID for raster. GIS data is referenced using coordinate systems like WGS84 for global latitude/longitude or HK80Grid for Hong Kong. ESRI's ArcGIS software allows viewing, editing, and publishing this geospatial data for mapping and analysis.
This document discusses key principles of map design including selection of colors, symbols, labeling, and overall layout. It emphasizes that while there are scientific rules of map design, there is also an artistic element. The document outlines topics to be covered such as map scale and generalization, symbolization, choropleth mapping, use of color, and labeling. It provides guidelines for map elements like titles, legends, and orientation indicators. It also discusses classification schemes, issues with choropleth maps, effective use of color, and best practices for labeling and typography. Ethical practices of map design to avoid deception are highlighted.
This is most benificial for the First year Engineering students.This presentation consists of videos and many applications of GIS. The processes and the other parts of GIS is also nicely explained.
This Seminar presentation is made by Shrikrishna Kesharwani
1ST YEAR, Transportation engineering student
NIT WARANGAL
FOLLOW ME ON INSTAGRAM
@SHRIKRISHNAKESHARWANI
A Geographic Information System (GIS) integrates hardware, software and data to capture, store, query, analyze and display spatially-referenced information. A GIS links location data to descriptive attributes and allows users to create, edit, analyze and display map information on a computer. Key GIS functions include capturing data, storing data in both vector and raster formats, querying data, analyzing spatial relationships between data sets, displaying data visually, and outputting results in various formats like maps, reports and graphs.
The vector data model represents geographic objects as points, lines, and polygons defined by x-y coordinates, allowing for precise representation of features and spatial relationships. While useful for network analysis, vector data cannot represent continuous gradations and is complex. The raster data model divides space into a grid of cells, facilitating representation of thematic data and compatibility with remote sensing imagery, but with less precision and larger data sizes.
Geodatabase: The ArcGIS Mechanism for Data ManagementEsri South Africa
This presentation is about understanding the content that goes into a geodatabase, advantages of using geodatabases, data management and maintaining data integrity.
This document provides an overview of geographic information systems (GIS). It discusses the history of GIS, defines what GIS is, describes what types of geographical data are used in GIS, and outlines the key GIS processes of capture, manage, analyze and present. It also provides some examples of GIS applications such as crime mapping, hydrology and health services. The overall document provides a high-level introduction to what GIS is and how it works.
This document provides an overview of remote sensing and geographical information systems (GIS) in civil engineering. It discusses key concepts like vector and raster data models, data coding, representation of geographic features as points, lines and areas, common vector data structures including topology and dual independent map encoding, and data compression techniques. The course will cover GIS software, spatial queries, analysis functions, and practice generating hydrological modeling inputs like digital elevation models and flow maps from terrain data.
This document provides instructions for using attribute tables and joining data in QGIS. It discusses how attribute tables define the elements of a shapefile and allow users to view, select, and highlight geographic features. It then explains how to join external data stored in files like Excel and CSVs to shapefile layers in QGIS by converting the external files to DBF format and linking fields between the files and layers. The document demonstrates this process to map HIV prevalence data from a DBF file to administrative boundary layers in Mozambique.
Dave Murray presented on QGIS, an open source desktop GIS. He discussed why users should consider QGIS, its benefits, and limitations compared to commercial GIS software. Training materials and resources for learning QGIS were provided, including online courses, tutorials, and documentation. While QGIS is limited in some areas like advanced editing and cartography, it was positioned as a valuable free tool worth learning to expand one's GIS skills and have an alternative to expensive commercial software.
This document provides an introduction to Geographic Information Systems (GIS). It defines GIS as a system designed to store, manipulate, analyze and display spatially referenced data. The key components of a GIS are hardware, software and data. Common GIS software includes desktop programs like ArcGIS and open-source options like QGIS. GIS can incorporate different types of spatial data like raster, vector and remote sensing data along with associated attribute tables. Example applications discussed are in hydrology, including watershed analysis and flood modeling.
This document provides an overview of using QGIS open source GIS software to load, manipulate, and classify geospatial data. It discusses loading data formats like shapefiles and geodatabases, exploring the QGIS interface, performing digitization and attribute editing, running topology rules to check for errors, and labeling layers to provide more information about mapped features. Exercises are demonstrated step-by-step to help users understand how to apply GIS theory and create basic maps in QGIS.
This document discusses GIS data analysis techniques including raster to vector conversion and spatial analysis through vector overlay. It provides information on various data types and models in GIS. Key analysis techniques covered are raster and vector data overlays, terrain mapping and analysis, and spatial interpolation methods. Specific vector and raster overlay methods like point-in-polygon, line-in-polygon and polygon-on-polygon are described. Spatial data editing techniques involving digitization errors and topological/non-topological editing are also summarized.
This document provides an introduction to Geographic Information Systems (GIS). It defines GIS as a computer system for capturing, storing, manipulating, analyzing and presenting spatially-referenced data. The document discusses examples of GIS applications, the history of GIS from the 1970s to present, and its use in fields like urban planning, hydrological modeling and the water sector. It also compares open source GIS software like QGIS to proprietary software like ESRI ArcGIS, and reviews some key open source GIS tools including GDAL, Python and OSGeo4W.
This document outlines the planning process for a GIS analysis project to identify suitable sites for a new wastewater treatment plant. It discusses why many GIS projects fail, the types and phases of GIS projects. It then details the steps involved in a GIS analysis project including: defining the objective, creating the project database by identifying and preparing data, analyzing the data using spatial modeling functions, and presenting the results. For the wastewater treatment plant project, the analysis will identify parcels that meet criteria like being in a low-lying area near water and not residential, and the results will be shown on a presentation map.
The document discusses spatial data and spatial analysis. It defines spatial data as data connected to locations on Earth, with three main components - geometric data describing location, thematic data providing attribute values, and identifiers linking the geometric and thematic components. Spatial analysis in GIS involves functions like measurements, queries, classifications and modeling to analyze spatial relationships in the data and address real-world problems. Common analysis functions in GIS include measurements, queries, extractions, proximity analysis, and network analysis.
GIS Based Project Planning and ManagementSaurabhChobe
This document describes a GIS-based project management system called ProGIS. It allows users to track multiple construction or infrastructure projects on an interactive map. Project managers can view tasks, timelines, images and reports for each project location without traveling to sites. Data from on-site mobile devices is synced to the backend server and displayed on maps. The system was designed with flexibility, security, and support for remote access in mind. It uses open-source LAMP stack technologies and integrates mapping capabilities from GeoServer. Screenshots demonstrate the web and mobile interfaces.
The document discusses the raster data model. The key points are:
- Raster data is represented as a grid of cells (pixels) organized into rows and columns. Each cell contains a value representing information.
- Common raster data types include satellite imagery, digital elevation models, and scanned maps.
- Raster data has advantages for modeling and analysis but disadvantages for representing linear features and conforming to cartographic standards due to resolution issues.
Prepared as part of the IT for Business Intelligence course of MBA @VGSOM, IIT Kharagpur. The tutorial describes how to represent vector data on a map using the open source software QGIS.
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
Image classification, remote sensing, P K MANIP.K. Mani
Image classification involves using spectral bands of images to separate landscape features into categories. Pixels with similar spectral signatures are clustered and classified using techniques like maximum likelihood classification. This results in a classified image map where each pixel is assigned a land cover class. However, classified maps have errors, so accuracy assessment is important to estimate the map's accuracy. Supervised classification involves using training areas of known land cover to develop spectral signatures for classification, while unsupervised classification clusters pixels without prior class definitions.
This document discusses spatial analysis and modeling in a geographical information system. It defines spatial analysis as gaining an understanding of patterns and processes underlying geographic features in order to make better decisions and understand phenomena. The document outlines four types of spatial analysis: spatial data manipulation, spatial data analysis, spatial statistical analysis, and spatial modeling. It also describes different vector and raster spatial analysis techniques, such as clipping, overlaying, buffering, and slope/aspect calculations. Spatial modeling is defined as using models to predict spatial outcomes and enable "what if" analyses.
This document provides an introduction to using QGIS, an open source geographic information system software. It explains how to install and launch QGIS, load shapefile data layers, change the projection, import a spreadsheet, join spreadsheet data to a GIS layer, and style layers. The tutorial demonstrates how to create a basic choropleth map displaying Syrian population data at the Turkish provincial level.
The document discusses various data visualization techniques using Matplotlib in Python. It covers creating basic line plots and scatter plots, customizing plots by adding labels, legends, colors and styles. It also discusses different chart types like pie charts, bar charts, histograms and boxplots. Advanced techniques like showing correlations and time series analysis are also covered. The document provides code examples for each visualization technique.
The vector data model represents geographic objects as points, lines, and polygons defined by x-y coordinates, allowing for precise representation of features and spatial relationships. While useful for network analysis, vector data cannot represent continuous gradations and is complex. The raster data model divides space into a grid of cells, facilitating representation of thematic data and compatibility with remote sensing imagery, but with less precision and larger data sizes.
Geodatabase: The ArcGIS Mechanism for Data ManagementEsri South Africa
This presentation is about understanding the content that goes into a geodatabase, advantages of using geodatabases, data management and maintaining data integrity.
This document provides an overview of geographic information systems (GIS). It discusses the history of GIS, defines what GIS is, describes what types of geographical data are used in GIS, and outlines the key GIS processes of capture, manage, analyze and present. It also provides some examples of GIS applications such as crime mapping, hydrology and health services. The overall document provides a high-level introduction to what GIS is and how it works.
This document provides an overview of remote sensing and geographical information systems (GIS) in civil engineering. It discusses key concepts like vector and raster data models, data coding, representation of geographic features as points, lines and areas, common vector data structures including topology and dual independent map encoding, and data compression techniques. The course will cover GIS software, spatial queries, analysis functions, and practice generating hydrological modeling inputs like digital elevation models and flow maps from terrain data.
This document provides instructions for using attribute tables and joining data in QGIS. It discusses how attribute tables define the elements of a shapefile and allow users to view, select, and highlight geographic features. It then explains how to join external data stored in files like Excel and CSVs to shapefile layers in QGIS by converting the external files to DBF format and linking fields between the files and layers. The document demonstrates this process to map HIV prevalence data from a DBF file to administrative boundary layers in Mozambique.
Dave Murray presented on QGIS, an open source desktop GIS. He discussed why users should consider QGIS, its benefits, and limitations compared to commercial GIS software. Training materials and resources for learning QGIS were provided, including online courses, tutorials, and documentation. While QGIS is limited in some areas like advanced editing and cartography, it was positioned as a valuable free tool worth learning to expand one's GIS skills and have an alternative to expensive commercial software.
This document provides an introduction to Geographic Information Systems (GIS). It defines GIS as a system designed to store, manipulate, analyze and display spatially referenced data. The key components of a GIS are hardware, software and data. Common GIS software includes desktop programs like ArcGIS and open-source options like QGIS. GIS can incorporate different types of spatial data like raster, vector and remote sensing data along with associated attribute tables. Example applications discussed are in hydrology, including watershed analysis and flood modeling.
This document provides an overview of using QGIS open source GIS software to load, manipulate, and classify geospatial data. It discusses loading data formats like shapefiles and geodatabases, exploring the QGIS interface, performing digitization and attribute editing, running topology rules to check for errors, and labeling layers to provide more information about mapped features. Exercises are demonstrated step-by-step to help users understand how to apply GIS theory and create basic maps in QGIS.
This document discusses GIS data analysis techniques including raster to vector conversion and spatial analysis through vector overlay. It provides information on various data types and models in GIS. Key analysis techniques covered are raster and vector data overlays, terrain mapping and analysis, and spatial interpolation methods. Specific vector and raster overlay methods like point-in-polygon, line-in-polygon and polygon-on-polygon are described. Spatial data editing techniques involving digitization errors and topological/non-topological editing are also summarized.
This document provides an introduction to Geographic Information Systems (GIS). It defines GIS as a computer system for capturing, storing, manipulating, analyzing and presenting spatially-referenced data. The document discusses examples of GIS applications, the history of GIS from the 1970s to present, and its use in fields like urban planning, hydrological modeling and the water sector. It also compares open source GIS software like QGIS to proprietary software like ESRI ArcGIS, and reviews some key open source GIS tools including GDAL, Python and OSGeo4W.
This document outlines the planning process for a GIS analysis project to identify suitable sites for a new wastewater treatment plant. It discusses why many GIS projects fail, the types and phases of GIS projects. It then details the steps involved in a GIS analysis project including: defining the objective, creating the project database by identifying and preparing data, analyzing the data using spatial modeling functions, and presenting the results. For the wastewater treatment plant project, the analysis will identify parcels that meet criteria like being in a low-lying area near water and not residential, and the results will be shown on a presentation map.
The document discusses spatial data and spatial analysis. It defines spatial data as data connected to locations on Earth, with three main components - geometric data describing location, thematic data providing attribute values, and identifiers linking the geometric and thematic components. Spatial analysis in GIS involves functions like measurements, queries, classifications and modeling to analyze spatial relationships in the data and address real-world problems. Common analysis functions in GIS include measurements, queries, extractions, proximity analysis, and network analysis.
GIS Based Project Planning and ManagementSaurabhChobe
This document describes a GIS-based project management system called ProGIS. It allows users to track multiple construction or infrastructure projects on an interactive map. Project managers can view tasks, timelines, images and reports for each project location without traveling to sites. Data from on-site mobile devices is synced to the backend server and displayed on maps. The system was designed with flexibility, security, and support for remote access in mind. It uses open-source LAMP stack technologies and integrates mapping capabilities from GeoServer. Screenshots demonstrate the web and mobile interfaces.
The document discusses the raster data model. The key points are:
- Raster data is represented as a grid of cells (pixels) organized into rows and columns. Each cell contains a value representing information.
- Common raster data types include satellite imagery, digital elevation models, and scanned maps.
- Raster data has advantages for modeling and analysis but disadvantages for representing linear features and conforming to cartographic standards due to resolution issues.
Prepared as part of the IT for Business Intelligence course of MBA @VGSOM, IIT Kharagpur. The tutorial describes how to represent vector data on a map using the open source software QGIS.
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
Image classification, remote sensing, P K MANIP.K. Mani
Image classification involves using spectral bands of images to separate landscape features into categories. Pixels with similar spectral signatures are clustered and classified using techniques like maximum likelihood classification. This results in a classified image map where each pixel is assigned a land cover class. However, classified maps have errors, so accuracy assessment is important to estimate the map's accuracy. Supervised classification involves using training areas of known land cover to develop spectral signatures for classification, while unsupervised classification clusters pixels without prior class definitions.
This document discusses spatial analysis and modeling in a geographical information system. It defines spatial analysis as gaining an understanding of patterns and processes underlying geographic features in order to make better decisions and understand phenomena. The document outlines four types of spatial analysis: spatial data manipulation, spatial data analysis, spatial statistical analysis, and spatial modeling. It also describes different vector and raster spatial analysis techniques, such as clipping, overlaying, buffering, and slope/aspect calculations. Spatial modeling is defined as using models to predict spatial outcomes and enable "what if" analyses.
This document provides an introduction to using QGIS, an open source geographic information system software. It explains how to install and launch QGIS, load shapefile data layers, change the projection, import a spreadsheet, join spreadsheet data to a GIS layer, and style layers. The tutorial demonstrates how to create a basic choropleth map displaying Syrian population data at the Turkish provincial level.
The document discusses various data visualization techniques using Matplotlib in Python. It covers creating basic line plots and scatter plots, customizing plots by adding labels, legends, colors and styles. It also discusses different chart types like pie charts, bar charts, histograms and boxplots. Advanced techniques like showing correlations and time series analysis are also covered. The document provides code examples for each visualization technique.
The document discusses different types of visual interactions in Power BI reports: Highlight, Filter, and None. It explains how each interaction type affects cross-filtering and data shown in visuals. It also covers setting different interaction types for individual visuals and how that impacts cross-filtering. Examples are provided to illustrate the behavior of each interaction type.
Geohosting is a complex system composed of single components-applications. These components are integrated into one fully functional system. This complex system enables easy creation and publication of new map compositions. It enables you to work not only with your own geographic data but also through web services with external geographic data. The number of available online data sources is still increasing. The advantage is that original data stay at the level where they are collected and maintained. Therefore there is no duplication of data. Up-to-date source data guarantee up-to-date map compositions.
- The document describes different types of charts in Tableau including bar charts, line charts, pie charts, scatter plots, and Gantt charts.
- It explains how to create these charts by dragging dimensions and measures to the rows, columns, and marks shelves. Additional formatting options like color, labels, and drill downs are also covered.
- Level of detail (LOD) expressions allow computing aggregations across different granularities and are described as fixed, include, and exclude LODs along with steps to create a custom LOD calculation.
HSLayers (Help Service + OpenLayers) combines capabilities of ExtJS and OpenLayers and several helping scripts to establish truly Web GIS applications. Development started in 2007. In 2009, after 2 years of development, it was released under conditions of GNU General Public License 3.
By Claudia Nuñez, Migrahack
Special for the 2013 Specialized Reporting Institute on immigration reform.
http://immigrationreportingworkshop2013.borderzine.com/
LoCloud MINT metadata mapping tool, Nikolaos Simou, Eleni Iskou, National Tec...locloud
This presentation of the MINT metadata mapping and ingestion tool was prepared for the LoCloud training workshops. The presentation gives an overview of MINT including user administration, metadata import, mappings, transformation and reporting. The slides include a series of screen shots giving a step-by-step walk through of the various processes. The MINT tool in LoCloud is used for mapping metadata imported by cultural institutions to various standard metadata schemas in preparation for transformation and delivery to Europeana.
The document describes two options for adding point data from a different coordinate system into a Civil 3D drawing:
Option 1 imports the points as a point cloud, which references rather than imports the points to keep file sizes smaller. It transforms both the coordinates and elevations.
Option 2 imports the points directly by first creating a new point file format that defines the source coordinate system. This transforms just the coordinates, not elevations, but adds the points directly to the drawing.
Both options have advantages and disadvantages regarding file size and what data is transformed. The best option depends on the specific data and needs of the project.
The document discusses key concepts in GIS including coordinate systems, map projections, transformations between coordinate systems, spatial queries, classification of data, symbolization, and labeling. It explains that coordinate systems use coordinates to identify locations on Earth, and that projections are needed to display coordinate systems on a flat surface from the curved Earth. It also discusses different methods for classifying data, choosing appropriate symbols, and how to automatically generate labels for features on a map.
SimplyMap is a web-based mapping application that allows both technical and non-technical users to create thematic maps and reports using demographic, business, and marketing data. This guide provides instructions on how to get started with SimplyMap, including how to create new maps and reports using wizard tutorials or manually by selecting locations and variables. It also explains how to export maps and reports for use in other programs or for sharing.
Crystal tr///SAP Design Studio online training by design studio Export-24/7//...venkat training
///SAP Design Studio online training by design studio Export-24/7//
venkat
Contact numbers : +91 9972971235,+91-9663233300(India)
Email Id : Madhukar.dwbi@gmail.com, https://www.youtube.com/watch?v=KK6DxwhYxAI&t=23s
Website:
http://www.sap-bo-online-training.com/
1. The document provides instructions to create a personal geodatabase in ArcCatalog to store GIS data.
2. It describes how to create feature datasets and feature classes to organize different types of geographic features.
3. Steps are outlined to register a topographic map by adding control points and rectifying the map, then digitizing features from the map into the newly created feature classes.
The document is an introduction to AutoCAD 2007 that teaches fundamental 2D concepts and commands. It discusses starting up AutoCAD, setting up drawing units and limits, and using commands like LINE, ERASE to create and modify simple geometric shapes. The LINE command is used to draw a five-point star as an example. Visual reference tools like GRID and SNAP are explained to help with object placement. Repeating commands and different selection methods are also covered.
The document provides an overview of getting started with Tableau, including connecting to data sources, using dimensions and measures to structure views, creating charts and dashboards, and using filters. It explains how to build visualizations by dragging fields to the rows, columns, and marks cards and introduces more advanced topics like data blending and calculations.
The document describes steps to identify landslide prone areas in Sumedang, Indonesia using GIS. This includes:
1. Importing data like contours, rivers, roads, soil and geology maps.
2. Processing the data by creating a coordinate system, converting vector data to raster, deriving slope from contours, and creating buffers around rivers.
3. Using spatial multi-criteria evaluation to analyze factors like slope, distance to rivers, soil and produce an output map indicating landslide susceptibility, with values from 0-1.
4. Creating a layout map of the results with a legend and exporting it.
This document provides an overview of creating a tabular model in Visual Studio using Excel data sources that can then be used as a data source in Necto. The key steps covered are:
- Creating a new tabular model project in Visual Studio SQL Server Data Tools
- Importing Excel files as data sources and defining relationships between tables
- Creating measures and hierarchies for slicing data
- Customizing the model by hiding unnecessary columns
- Deploying the completed model for use in Necto
Some tips on how to get started with MapBasic, the scripting language for MapInfo Pro.
What is MapBasic? Where do I find support and what tools should I use? How do I work with the interface?
This document provides guidelines for creating 3D visualizations and fly-through movies in ArcScene to educate others about weed infestations. Key steps include defining an objective, assembling raster and DEM data, setting data frame and layer properties, inspecting the 3D scene, and exporting views and movies. Fly-through movies can be created by recording a camera track while flying through the scene or using a path from a shapefile.
The main focus of this study is to find appropriate and stable solutions for representing the statistical data into map with some special features. This research also includes the comparison between different solutions for specific features. In this research I have found three solutions using three different technologies namely Oracle MapViewer, QGIS and AnyMap which are different solutions with different specialties. Each solution has its own specialty so we can choose any solution for representing the statistical data into maps depending on our criteria’s.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
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তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
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ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
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Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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1. QGIS Tutorial
Prepared By:
Niloy Ghosh
Nitin Kumar Rathore
Students of 2nd Year MBA at Vinod Gupta School of Management
(VGSOM), IIT Kharagpur
2. Objective of the Tutorial
• To make a choropleth interactive map, as
given in the picture, using open source QGIS
mapping software.
3. What it does
A Choropleth map is a thematic map,
having different colours or shades for
representing different values in
geographic region. It can be population,
per capita income. This map makes it
easy to visualize how measurement
varies from a region to region.
4. Pre-Requirements
• Shapefile: of any country that you want to
choropleth interactive map of. In our case its
India.
• Data: Data of population, in table format, of
the country.
• GIS Software: Should be installed beforehand.
5. Shapefile
• A Shapefile describe geometries, its a collection
of points, lines, polylines and polygons.
• It can have data about the geometries it
describes for example population, mortality rate,
terrain.
• Extension of a shapefile is .shp
• A shape file is provided by many websites for
free. Our shape for India can be found at this link:
http://www.gadm.org/country
6. Data
• The data you want to be represented in the
map can be taken from a mysql database,
excel spreadsheet, access database, CSV file or
any table.
• Our data for India was taken from this link
– data for excel:
http://en.wikipedia.org/wiki/Demographics_of_In
dia
7. About QGIS Software
•Quantum Geographical Information System (QGIS) is
an open source software for representing
geographical information. It’s available for Mac, OSX
Linux and Windows platforms at http://www.qgis.org/
•QGIS will be used to join the geographical
information stored in shapefile and data we want to
represent on the map.
•After that we will create web version of map using
the image of map and html code.
8. Let’s Start
• We are going to build a map to show population data for each state of the country.
The shapefile is to be download from http://www.gadm.org/country
9. • Unzip the Zip file downloaded and you will find the following contents.
10. Preparing data for shapefile:
• Copy the population data from wiki link into the excel file
11. Preparing data for shapefile (contd.)
• Copy the data of two columns, states and population, in excel file and save the spreadsheet
with CSV format(comma delimited) (*.csv). And format column types as general.
13. Load the shapefile in QGIS (contd.)
• Select the IND_adm1.shp file from the unzipped folder you have downloaded, it contains the
shape and data for indian states.
16. Attribute Table
• The attribute table will contain data for states (column “NAME_1”). This field is used as a join
to CSV file data. So one must be cautious that the data of the column should match
otherwise make the necessary changes in CSV file.
• We therefore advise you to download both files (shape and data) from the same websites if
available.
17. To set the internet settings for downloading plugins, if you are workin under proxy server.
• Click on menu “Settings”
• Select “Options”
18. To set the internet settings for downloading plugins (contd.)
• Select “Network” Tab
• Enter your Host, Port and Proxy type of your proxy server
19. To download required plugins (mmqgis and HTML Image map plugin)
• There are 2 plugins we need to complete this lab exercise. If you can’t see them in plugins
menu, please follow theseesteps to download
• Click on menu “Plugins”
• Choose “Fetch Python plugins”
21. To download required plugins (contd.)
• Click on “Plugins” Tab
• Type “mmqgis” in textbox for search
• Click on “MMQGIS” plugin
• Click on Command “Install plugin”
22. To download required plugins (contd.)
• Follow same steps for Html Image map plugin
23. Import the data file in csv format
• Click on menu “plugins”
• Click option “mmqgis” and then option “Attributes joins from csv file”
24. Import the data file in csv format
• Click on browse to select the data file(CSV) we dcreated earlier in excel
• In data file select field “State or Union territory” and in Join layer attribute select option
“NAME_1”. These are the fields to be joined
• Save the output shapefile in your working directory and do same for the notfound csv output
list.
• Add joined layer must be checked and clik ok.
25. Import the data file in csv format (Contd.)
• A new layer will be added to your project as indicated below
26. Attribute table with data
• Open the attribute table again
• Click “ Layer”, then click “Open attribute table”
• New data has been joined with data of shapefile as shown below
27. • The problem mmqgis plugin is the it did not recognize number fields as numbers but as
strings. So to use data properly it is to be converted into integers or reals.
• For that click on pencill icon on ,as indicated in picture,to enter editing mode. Then click on
calculator icon to launch field calculator
28. Format Strings to numbers
• Enter name(say pop_int)of new column that will hold no. value for all strings in populatio
field
• select whole noumberinteger) for output field type
• Click “to real” in opertators section, to begin expression in the field calculator expression box.
Enter field name Ppop_int” and close the paranthesis. Click ok
29. Format string to numbers(contd.)
• Now we will create a column that will hold a string value as a tooltip. When a mouse Is
moved over a area in the map this is the message a person will see.
• In output field name, enter pop_str, choose text(string) and make the output filed width 50.
• Enter this formula in field calculator expression section: NAME_1+’:’+to string(populatio)
• This will concatenatese the name field with population of that sate.. Now click ok
30. Format string to numbers
• Now you can see different columns for population in numbers and in string form.
• To save these changes you must click the pencil icon.
31. Colouring the map
• Now we will color the map based on data file
• Click on layers and select properties
32. Coloring the map (cont.)
• In the layer properties dialog box , choose style tab(default). Choose legend type as
‘Graduated’. For column field select ‘pop_int’. For mode choose “equal interval”
• For classes choose 6, then click on classify and then click apply.
33. Colouring the map(cont.)
• Now the colours applied to map would be visible. And the colours of the map and legend of
colours and values can be seen in layers window
• We can change the default colour palette selected by QGIS.
• To change colors go to style option by clicking layers menu then properties and then style
tab.
34. Colouring the map(contd.)
• To change color, click on the color of the respective row. This will open symbol selector. click
change.
• To change range, click on the range next to the first colour and a dialog box will appear to
allow you to change the range upper and lower values
35. Colouring the map(contd.)
• By clicking on change (for colour). IT will open a window Select Color.
• Select bright red to differentiate it from blue.
• Follow similar steps to change the colors of other ranges
36. Colouring the map(contd.)
• To change range after clicking on the range values, as shown in previous slide , a dialog box
will appear named “enter class bounds” as shown below. You can enter upper and lower limit
to define range.
• Click ok
• Apply the same procedure to change ranges of the other rows
37. Colouring the map (contd.)
• Now change the row values and colors as given in the figure below (range values in the
multiples of 3 crore).
• Also edit the labels next to range. You can edit labels just by double clicking on it.
• After all editing click ok
38. Colouring th e map (contd.)
• We can see different colour codes for the different range of population in the map.
39. Making an interactive web map
• Whatever you see in the map window will be in your final Html map. If you want to get rid of
the default icons on maps: the copy right notice, a measurement bar and a north marker. We
have circled the icons, which can remove them.
40. Making an interactive web map(contd.)
• You can resize the QGIS window to resize the map, according to your requirement of size on
webpage.
• Click the magnifying class as indicated to fill up any extra space.
41. Making an interactive web map(contd.)
• Now we can export our map and html code to create an interactive web map.
• Click on menu ‘Plugins’ and select Html Image Map Plugin. Then select image map.
42. Making an interactive web map(contd.)
• The defauld dimension of image size is the size of QGIS map window. If you want to change
these dimensions, you can change the size of map window and try again
• Set the path for file to be saved by ‘browse’. Choose a filename for the html map.
• Uncheck all the boxes except onMouseOver attr. Infront of that property select field value
pop_str, the field that holds the tooltip/mouseover message. Click ok
43. Final Map
• Open the web page file in your browser. You can see a similar picture given below. Move your
mouse over individual states to see the population of that state on the top left corner.
44. To use the map in already existing template
• A sample template can be found at http://tbarmann.webfactional.com/nicar
• Html plugin will create 3 files: an html page, a png file and a PNGw file. Open the Html file
with a text editor and copy all code between the start tag (<map name =“mapmap”>)and the
end tag.
45. To use the map in already existing template (contd.)
• Open the web page template you want to embed map on. Paste the map code into this
template file.
• Change the src attribute to the name of the png file created by the html image map plugin.
and save the png file In the new html page directory. Now save the web page.
46. To use the map in already existing template (contd.)
• This template file will show the same string but below the mouse as a tooltip rather than a
message at top left. Like when we move mouse to West Bengal, this tooltip appears.
47. Thank You
Please visit our blog
http://gettingstartedwithqgis.blogspot.in/ for more such
tutorials