Panduan download peta dengan global mapper 19

Technique: Cleaning data | Tools: Stata

Converting GIS data in FME Quick Translator

FME (File Manipulation Engine) is a powerful software package that allows users to quickly convert spatial and non-spatial datasets into other formats to facilitate sharing and interoperability. One of its components, FME Quick Translator, is an easy-to-use utility that provides a straightforward translation workflow via a simple graphical user interface. This guide demonstrates how to use FME Universal Translator to convert geospatial data from one format to another using an older file format (ArcInfo Coverage, .e00) as an example.

Discipline: Architecture, Landscape & Design | Technique: Converting data formats | Tools: FME | Data Format: Raster, Vector

Creating a point layer of locations

This is a beginner’s guide to creating a point layer in ArcGIS 10.2 using the latitude and longitude of the locations you wish to display. The first part of this guide will walk you through creating an Excel file of coordinates found in decimal degrees that are set up and ready to be imported into ArcGIS. How to locate coordinates online will also be discussed. This guide will then walk you through bringing your data into ArcGIS and creating your point layer on top of a base layer of countries. 

Tools: ArcGIS, Excel | Data Format: Vector

Creating contours using ArcMap/ArcScene

Digital elevation models (DEMs) are geospatial datasets that contain elevation values sampled according to a regularly spaced rectangular grid. They can be used in terrain analysis, 3D visualizations, and hydrological modelling, among other applications. DEMs can be stored in several different formats; however, conversion into a raster dataset is often required for many processes. This tutorial explains how to derive contours from DEMs using ArcMap and ArcScene.

Tools: ArcGIS | Data Format: Raster

Creating Data Visualizations Using Tableau Desktop (Beginner)

This guide is suitable for new Tableau users looking for information on producing popular data visualizations in Tableau, such as bar graphs, line graphs, scatterplots, tree maps, and dashboards. If you are looking for more general data visualization tips, please see the Map and Data Library's Data Visualization Guide. You can find instructions on installing and acquiring a free academic license for Tableau here. If you are running Tableau on a Mac, please note that there may be some variation between the Windows version used to design this guide and the program as it appears on a Mac.

The data used in this guide are public datasets retrieved from the World Bank’s Open Data repository, the United Nation's Open Data Population Division, and the full text of Shakespeare's Romeo and Juliet available through MIT's website, with a frequency table generated through Voyant Tools. You can find more information regarding the data sources used in this guide in the subsection entitled "10. Data Sources".

This tutorial was created using Tableau Desktop version 2020.2.

Technique: Data Visualization | Tools: Excel, Tableau

Data Visualization and Tableau: Information, Tutorials, and Workshops

Data Visualization is a broad term that basically involves anything that uses graphical or pictorial representations of data for exploration, sense-making, and communication.  Data visualization allows you and your audience to identify patterns, trends, exceptions, and relationships. It has broad applicability from conveying abstract concepts or ideas to highly complex scientific data.

This page will highlight the resources we offer on data visualization and using Tableau Desktop. Tableau Desktop is a commercial program used to create data visualizations and interactive dashboards.

Technique: Data Visualization | Tools: Tableau

Deauthorizing ArcGIS

If you need to uninstall and reinstall your authorized copy of ArcGIS (for example, if you are reformatting your hard drive or switching to a new computer or you have entered your eva code in once and it did not authorize) please follow these instructions before uninstalling the software.

Technique: Installation | Tools: ArcGIS

Digital Humanities Tools: Digital Scholar Lab

This tutorial introduces Gale's Digital Scholar Lab (DSL), a digital humanities tool. In this tutorial, you will learn how to:

• Build a collection of texts, including uploading your own materials
• Clean texts 
• Run analytical tools on texts and visualize the results
• Download the data, graphs, and other visualizations produced through this tool 
• Download the scanned texts in your collection, so that you can use them in other programs
• Find additional training and resources

Note: Gale periodically updates the Digital Scholar Lab, so some features of this tutorial might not always match the latest interface. This tutorial was last updated in July 2022.

Technique: Text and Data Mining, Cleaning data, Extracting data | Tools: Digital Scholar Lab

Downloading Data from GeoGratis

National Resources Canada (NRCAN) produced a portal called GeoGratis for allowing access to, and downloads of, their high-quality, free, and publicly available maps and geospatial data. This tutorial guides you in navigating their Product Index to find data on a specific location, and it is easily adaptable for other locations or desired data products.

Technique: Searching for maps and data, Extracting data | Tools: GeoGratis | Data Format: DEM, Raster

Exporting map data from OpenStreetMap

In the case you need to acquire detailed city data to produce a large-scale map and we don’t have what you’re looking for in our data inventory, there is a chance that the user-contributed maps of OpenStreetMap.org may do the trick. You can export data from OpenStreetMap and open it in ArcGIS to use it in your own maps.

Tools: ArcGIS | Data Format: Vector

Extracting the geographic features you need from a larger dataset

You may have noticed that many GIS datasets contain information about a geographic extent that is larger than your area of interest. Your research may involve analysis of data related to a single municipality in Ontario, yet you have only been able to locate a dataset showing all municipalities located within the province. Alternatively, you may be interested in only displaying a selection of features on your completed map, such as the Canadian cities you have selected as case studies for your research. This tutorial will demonstrate how to extract just the features you need from larger datasets, saving them to new files that you can then use to map and analyze your data.

Tools: ArcGIS | Data Format: Vector