QGIS is a free and open-source cross-platform desktop geographic information system application that supports viewing, editing, and analysis of geospatial data.
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.
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.
The document provides an introduction to Geographic Information Systems (GIS) and the open-source GIS software QGIS. It discusses John Snow's 1854 map of a cholera outbreak in London and how it helped establish epidemiology. It then defines GIS and describes common components like data input/output, data models, and editing tools. The document also demonstrates how to perform tasks in QGIS like adding vector and raster layers, importing GPX files, editing shapefiles, creating new layers, merging shapefiles, and filtering/separating data.
This document provides an overview of databases and WebGIS. It discusses different types of databases including MySQL, PostgreSQL, and spatially-enabled databases. It compares MySQL and PostgreSQL, covering when each would be used. It also covers database data conversions between formats like JSON, GeoJSON, CSV, SHP, and KML/KMZ. For WebGIS, it defines it as a distributed information system comprising a server and client, where the server is a GIS server and client a web browser. It discusses purposes, technologies, languages/frameworks like Python, JavaScript, GeoDjango, and case studies for building WebGIS systems.
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.
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.
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.
The document provides an introduction to Geographic Information Systems (GIS) and the open-source GIS software QGIS. It discusses John Snow's 1854 map of a cholera outbreak in London and how it helped establish epidemiology. It then defines GIS and describes common components like data input/output, data models, and editing tools. The document also demonstrates how to perform tasks in QGIS like adding vector and raster layers, importing GPX files, editing shapefiles, creating new layers, merging shapefiles, and filtering/separating data.
This document provides an overview of databases and WebGIS. It discusses different types of databases including MySQL, PostgreSQL, and spatially-enabled databases. It compares MySQL and PostgreSQL, covering when each would be used. It also covers database data conversions between formats like JSON, GeoJSON, CSV, SHP, and KML/KMZ. For WebGIS, it defines it as a distributed information system comprising a server and client, where the server is a GIS server and client a web browser. It discusses purposes, technologies, languages/frameworks like Python, JavaScript, GeoDjango, and case studies for building WebGIS systems.
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.
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.
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 summarizes Session 4 of a training on managing spatial data. The key concepts covered include metadata, clipping layers and coordinates, finalizing maps, and priority setting. Metadata provides information about spatial data to help determine relevance and accuracy for a project. Common geographic coordinate systems (GCS) like WGS84 were discussed. The document demonstrates how to clip shapefiles to select specific geographic areas and add symbols. It suggests prioritizing key layers and data needed for a spatial project before beginning mapping.
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.
What is Geography Information Systems (GIS)John Lanser
GIS is a computer-based information system used to capture, manage, update, analyze, display, and output spatial data and information to be used in a decision making context. It integrates hardware, software, data, people, and allows for the visualization and analysis of data with a geographic component. Some key applications of GIS include emergency response, transportation planning, site selection, and natural resource management.
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.
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.
GIS models reality through abstraction using a mix of raster, vector, and attribute data tailored to specific functions. Topological vector models record shared geometries like points and lines only once, allowing features to be connected and ensuring integrity as changes propagate between related features. Object-oriented models represent real-world phenomena as interconnected objects with their own rules and relationships.
This document provides an outline for a presentation on geospatial technologies including remote sensing, GPS, mapping, surveying, and GIS. It begins with an introduction to the geomatic umbrella and defines key geospatial concepts. It then discusses remote sensing platforms and sensors, and provides examples of agricultural and forestry applications. It also summarizes GPS systems and applications. The document defines mapping and surveying and provides examples. It concludes with an overview of GIS hardware, software, data, and functions and discusses example applications in emergency management, petroleum management, and utilities.
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 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.
This document discusses various geoprocessing tools available in QGIS for manipulating spatial data. It describes tools such as convex hull, buffer, union, intersect, clip, symmetrical difference, and dissolve. For each tool, it provides a definition, explains how to use the tool in QGIS, and shows an example of the output layer. The document serves as a guide to common geoprocessing tasks and spatial analysis that can be performed in QGIS.
This document summarizes a presentation about working with ArcGIS Online. It discusses ArcGIS Online as an integrated part of ArcGIS that allows users to create and share intelligent web maps on any device. The presentation demonstrates how to use ArcGIS.com to search data, create web maps, and embed maps in websites. It also shows how to use templates to showcase maps in a public gallery. The road ahead section discusses upcoming enhancements to ArcGIS Online, including hosting and portals for organizations to collaborate on maps and data in the cloud.
Geographic information system and remote sensingchala hailu
ArcMap is where you create maps and access most of the ArcGIS functionality. Remote sensing is an instrument based of observing an object at a far distance without direct contact.
Vector data stores individual map features with high precision and has a linked attribute table for storing metadata. It is well-suited for mapmaking but poorly suited for storing continuously varying surfaces like elevation. Raster data stores information as a grid of cells, each with a single value, making it ideal for representing continuously varying data but with less precision. Some types of analysis are faster with rasters due to more developed analysis tools, while others are faster with vectors.
basic concept of geographic data,GIS and its component,data acquisition ,raster, vector formats,spatial data,topology and data model data output ,GIS applications
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 ArcGIS Pro, a new desktop GIS application from Esri. The summary includes:
- ArcGIS Pro is a 64-bit application with improved performance for mapping, visualization, editing, and analysis tasks.
- It is integrated with ArcGIS Online and ArcGIS Enterprise and allows combined 2D/3D experiences.
- ArcGIS Pro has additional capabilities over ArcMap like improved charting and runs alongside ArcMap as part of the ArcGIS Desktop application.
Raster data is commonly obtained by scanning maps or collecting aerial photographs and satellite images. Scanned map datasets don't normally contain spatial reference information (either embedded in the file or as a separate file). With aerial photography and satellite imagery, sometimes the location information delivered with them is inadequate, and the data does not align properly with other data one has. Thus, to use some raster datasets in conjunction with other spatial data, we need to align or georeference them to a map coordinate system. A map coordinate system is defined using a map projection (a method by which the curved surface of the earth is portrayed on a flat surface). Georeferencing a raster data defines its location using map coordinates and assigns the coordinate system of the data frame. Georeferencing raster data allows it to be viewed, queried, and analyzed with other geographic data.
Generally, we georeference raster data using existing spatial data (target data)—such as georeferenced rasters or a vector feature class—that resides in the desired map coordinate system. The process involves identifying a series of ground control points—known x,y coordinates—that link locations on the raster dataset with locations in the spatially referenced data (target data). Control points are locations that can be accurately identified on the raster dataset and in real-world coordinates. Many different types of features can be used as identifiable locations, such as road or stream intersections, the mouth of a stream, rock outcrops, the end of a jetty of land, the corner of an established field, street corners, or the intersection of two hedgerows. The control points are used to build a polynomial transformation that will shift the raster dataset from its existing location to the spatially correct location. The connection between one control point on the raster dataset (the from point) and the corresponding control point on the aligned target data (the to point) is a link.
Finally, the georeferenced raster file can be exported for further usage.
THIS PRESENTATION IS TO HELP YOU PERFORM THE TASK STEP BY STEP.
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 provides an overview of using DIVA-GIS software for geographic information systems (GIS) and spatial data modeling. It summarizes key functions of DIVA-GIS including importing shapefiles and point data, selecting and editing features, performing queries to select features by attributes, measuring distances, and exporting projects for use on other computers. DIVA-GIS is open-source software designed for biodiversity research applications like niche modeling to study species distributions.
SAP Analytics Cloud combines BI, planning, predictive, and augmented analytics capabilities into one simple cloud environment. Powered by AI technologies and an in-memory database, it is one of the most advanced analytics solutions available today.
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.
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 summarizes Session 4 of a training on managing spatial data. The key concepts covered include metadata, clipping layers and coordinates, finalizing maps, and priority setting. Metadata provides information about spatial data to help determine relevance and accuracy for a project. Common geographic coordinate systems (GCS) like WGS84 were discussed. The document demonstrates how to clip shapefiles to select specific geographic areas and add symbols. It suggests prioritizing key layers and data needed for a spatial project before beginning mapping.
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.
What is Geography Information Systems (GIS)John Lanser
GIS is a computer-based information system used to capture, manage, update, analyze, display, and output spatial data and information to be used in a decision making context. It integrates hardware, software, data, people, and allows for the visualization and analysis of data with a geographic component. Some key applications of GIS include emergency response, transportation planning, site selection, and natural resource management.
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.
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.
GIS models reality through abstraction using a mix of raster, vector, and attribute data tailored to specific functions. Topological vector models record shared geometries like points and lines only once, allowing features to be connected and ensuring integrity as changes propagate between related features. Object-oriented models represent real-world phenomena as interconnected objects with their own rules and relationships.
This document provides an outline for a presentation on geospatial technologies including remote sensing, GPS, mapping, surveying, and GIS. It begins with an introduction to the geomatic umbrella and defines key geospatial concepts. It then discusses remote sensing platforms and sensors, and provides examples of agricultural and forestry applications. It also summarizes GPS systems and applications. The document defines mapping and surveying and provides examples. It concludes with an overview of GIS hardware, software, data, and functions and discusses example applications in emergency management, petroleum management, and utilities.
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 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.
This document discusses various geoprocessing tools available in QGIS for manipulating spatial data. It describes tools such as convex hull, buffer, union, intersect, clip, symmetrical difference, and dissolve. For each tool, it provides a definition, explains how to use the tool in QGIS, and shows an example of the output layer. The document serves as a guide to common geoprocessing tasks and spatial analysis that can be performed in QGIS.
This document summarizes a presentation about working with ArcGIS Online. It discusses ArcGIS Online as an integrated part of ArcGIS that allows users to create and share intelligent web maps on any device. The presentation demonstrates how to use ArcGIS.com to search data, create web maps, and embed maps in websites. It also shows how to use templates to showcase maps in a public gallery. The road ahead section discusses upcoming enhancements to ArcGIS Online, including hosting and portals for organizations to collaborate on maps and data in the cloud.
Geographic information system and remote sensingchala hailu
ArcMap is where you create maps and access most of the ArcGIS functionality. Remote sensing is an instrument based of observing an object at a far distance without direct contact.
Vector data stores individual map features with high precision and has a linked attribute table for storing metadata. It is well-suited for mapmaking but poorly suited for storing continuously varying surfaces like elevation. Raster data stores information as a grid of cells, each with a single value, making it ideal for representing continuously varying data but with less precision. Some types of analysis are faster with rasters due to more developed analysis tools, while others are faster with vectors.
basic concept of geographic data,GIS and its component,data acquisition ,raster, vector formats,spatial data,topology and data model data output ,GIS applications
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 ArcGIS Pro, a new desktop GIS application from Esri. The summary includes:
- ArcGIS Pro is a 64-bit application with improved performance for mapping, visualization, editing, and analysis tasks.
- It is integrated with ArcGIS Online and ArcGIS Enterprise and allows combined 2D/3D experiences.
- ArcGIS Pro has additional capabilities over ArcMap like improved charting and runs alongside ArcMap as part of the ArcGIS Desktop application.
Raster data is commonly obtained by scanning maps or collecting aerial photographs and satellite images. Scanned map datasets don't normally contain spatial reference information (either embedded in the file or as a separate file). With aerial photography and satellite imagery, sometimes the location information delivered with them is inadequate, and the data does not align properly with other data one has. Thus, to use some raster datasets in conjunction with other spatial data, we need to align or georeference them to a map coordinate system. A map coordinate system is defined using a map projection (a method by which the curved surface of the earth is portrayed on a flat surface). Georeferencing a raster data defines its location using map coordinates and assigns the coordinate system of the data frame. Georeferencing raster data allows it to be viewed, queried, and analyzed with other geographic data.
Generally, we georeference raster data using existing spatial data (target data)—such as georeferenced rasters or a vector feature class—that resides in the desired map coordinate system. The process involves identifying a series of ground control points—known x,y coordinates—that link locations on the raster dataset with locations in the spatially referenced data (target data). Control points are locations that can be accurately identified on the raster dataset and in real-world coordinates. Many different types of features can be used as identifiable locations, such as road or stream intersections, the mouth of a stream, rock outcrops, the end of a jetty of land, the corner of an established field, street corners, or the intersection of two hedgerows. The control points are used to build a polynomial transformation that will shift the raster dataset from its existing location to the spatially correct location. The connection between one control point on the raster dataset (the from point) and the corresponding control point on the aligned target data (the to point) is a link.
Finally, the georeferenced raster file can be exported for further usage.
THIS PRESENTATION IS TO HELP YOU PERFORM THE TASK STEP BY STEP.
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 provides an overview of using DIVA-GIS software for geographic information systems (GIS) and spatial data modeling. It summarizes key functions of DIVA-GIS including importing shapefiles and point data, selecting and editing features, performing queries to select features by attributes, measuring distances, and exporting projects for use on other computers. DIVA-GIS is open-source software designed for biodiversity research applications like niche modeling to study species distributions.
SAP Analytics Cloud combines BI, planning, predictive, and augmented analytics capabilities into one simple cloud environment. Powered by AI technologies and an in-memory database, it is one of the most advanced analytics solutions available today.
What is Data Warehousing? ,
Who needs Data Warehousing? ,
Why Data Warehouse is required? ,
Types of Systems ,
OLTP
OLAP
Maintenance of Data Warehouse
Data Warehousing Life Cycle
By Claudia Nuñez, Migrahack
Special for the 2013 Specialized Reporting Institute on immigration reform.
http://immigrationreportingworkshop2013.borderzine.com/
This document provides an introduction and overview of Quantum GIS (QGIS). It begins with an overview of geographic information systems (GIS) in general. It then introduces QGIS, noting that it is open source software with a development team led by Gary Sherman. Key points about QGIS include that it is released under the GPL license and the project began in 2002. The document reviews how to install QGIS on Windows and Linux and describes the basic QGIS interface. It also provides an overview of working with vector and raster data in QGIS, including adding, styling, and selecting data. The document concludes with a section on plugins, noting that plugins allow users to expand QGIS' functionality.
The document provides an introduction to the ArcGIS Pipeline Data Model (APDM), which is a standardized data model for storing pipeline geospatial data. It describes the core components of a geographic information system (GIS) and how the APDM implements these components using ESRI's geodatabase tools. This includes discussions of feature classes, object classes, attributes, relationships, and how the pipeline data is structured and related within the APDM schema.
The document discusses geodata management in ArcGIS. It covers geospatial data types including vector and raster data, as well as how data is structured in a GIS. It then discusses various data management topics in ArcGIS including organizing data, using geodatabases and feature datasets to manage data, and maintaining data integrity through techniques like subtypes and domains. Finally, it discusses data management and visualization tools in ArcGIS Pro for working with data.
- Rediff News uses MongoDB for its publishing system to manage the lifecycle of articles, store article metadata and roles, acquire external feeds, enable tagging and notifications, and power search and data visualization on maps.
- The system allows users to upload Excel data, match it to map attributes, generate articles using data science insights, and visualize data on interactive maps.
- Rediff's architecture uses POJOs to define schemas, custom collections to store different data types, and a REST layer to expose data resources and abstract storage from applications.
Data pre-processing is an important step that includes cleaning, normalization, transformation, feature extraction and selection to produce the final training set. It addresses real-world data issues like incompleteness, noise, and inconsistencies. The main tasks are data cleaning, integration, transformation, reduction, and discretization. Data cleaning fills in missing values and identifies/removes outliers. Data is normalized, aggregated, and generalized. Reduction decreases attributes and tuples through binning, clustering, sampling and other techniques. Data mining tools include traditional programs, dashboards to monitor business performance, and text mining tools to extract structured and unstructured data.
Drupal Step-by-Step: How We Built Our Training Site, Part 2Acquia
The document discusses how to theme a Drupal site using Twitter Bootstrap, a popular front-end framework. It covers installing the Bootstrap base theme and modules, setting up a sub-theme using Sass, incorporating Bootstrap CSS and JS, and utilizing various Bootstrap components and responsive design features through the Views module and other modules.
The document discusses spatial SQL and databases. It provides an agenda for installing software, building a database, importing shapefiles, and writing queries. It then defines spatial SQL, discusses drivers for increased use of location data, and lists databases that support spatial SQL like Oracle, MySQL, SQL Server, Spatial Lite, and PostGIS. Finally, it covers functionality of spatial databases and shapefiles, and capabilities of PostGIS like spatial indexing.
1. The document provides an overview of CSS (Cascading Style Sheets) and how it can be used to style web pages by applying styles to HTML elements.
2. Styles can be applied inline, via embedded style blocks, or through external style sheets. External style sheets allow controlling styles across entire websites.
3. CSS properties like font, color, size, and other attributes can be set for elements using selectors like element names, classes, IDs to format text. Additional properties control layout aspects like margins, padding, borders.
The document provides steps for basic tasks in ArcGIS including adding data, adding symbology, creating buffers, and migrating data between a shapefile and geodatabase. It outlines 7 steps for adding shapefiles or feature classes to a map, 10 steps for applying symbology, and describes how to use buffer tools and wizards to create buffers around selected features at a specified distance. It also explains how to import and export data between a shapefile and geodatabase using geoprocessing tools.
This document discusses enhancing the Learn 9.1 learning management system through custom CSS theming. It provides guidance on involving stakeholders, setting up a local development environment, understanding the theme anatomy, customizing elements, deploying themes, reducing upgrade impacts, and resources for more information. Custom theming allows for consistency, ownership, and innovative practices while planning is important to involve others and allow time for design, testing, and upgrades.
This datasheet highlights new and enhanced features in IBM SPSS Statistics 24. Extend the value of time-series forecasting using temporal causal modeling, new analytical techniques including geospatial analytics and enhancements to programmability, performance and accessibility.
The presentation was given by Mr. Bas Kempen, ISRIC, during the GSOC Mapping Global Training hosted by ISRIC - World Soil Information, 6 - 23 June 2017, Wageningen (The Netherlands).
This presentation introduces Kicktag and the Cosmos reporting platform - this is the perfect place to start if you haven't worked with us before, and there are a number of references for further reading.
In this deck, we present an outline of the Cosmos platform including how the reporting modules and data integration tools work together. There are a number of visual examples ranging from basic document libraries to real-time analytics dashboards and bespoke mobile business discovery portals.
This document discusses performance considerations for customizing Blackboard themes using CSS. It introduces CSS and provides best practices like avoiding unused selectors, overqualified selectors, and the :hover pseudo-selector. Images should use appropriate formats like JPEG and PNG, and be optimized. CSS and images should be minified for faster loading. Tools like Firebug and PageSpeed can analyze performance and identify issues.
KiCad is an open source electronic design automation software suite that includes schematic design, PCB layout, and 3D viewing tools. It uses standard file formats and has libraries of symbols and footprints that can be edited. The design workflow in KiCad involves using the schematic editor to create circuit diagrams, exporting a netlist, importing it into the PCB layout editor to create PCB artwork and routes, and generating output files for manufacturing. Additional tools allow editing libraries, viewing Gerber files, and performing calculations.
Quick Wins to Jump Start Your SharePoint Implementation - SPEngage Raleigh 2016Jim Adcock
This document provides quick wins for jump starting a SharePoint implementation, including creating new sites using site templates for consistency, using promoted links to improve navigation, leveraging document sets to organize content, incorporating search web parts beyond just finding documents, utilizing dashboards to visualize data, implementing global navigation through managed metadata, and customizing the out-of-the-box corporate directory. The quick wins can be implemented with minimal customization and development to immediately provide value and encourage user adoption of the new SharePoint environment.
18. •Style the polygons however you'd like
•Change the outline colour or add a pattern
•Style the labels
•Change the font, the font size, or other attributes
19. Shapefiles
•Basic file for storing map elements
•Stores spatial data, like points, lines, and polygons
•Multiple files comprise a "shapefile
20. .shp—The main file that stores the feature geometry
.dbf—The DBASE table that stores the attribute information
of features
.prj—The file that stores the coordinate system information
.shx—The index file that stores the index of the feature
geometry
.cpg—Identifies the character set to be used
.sbn and .sbx—The files that store the spatial index of the
features
21. Shapefiles
Column names can only be letters, numbers, and underscores "_"
Column names can only be ten characters long