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	<title>Gustavo Faleiros, Author at geojournalism.org</title>
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	<title>Gustavo Faleiros, Author at geojournalism.org</title>
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		<title>How to make an animated  forest fire map using Google My Maps and Carto</title>
		<link>https://geojournalism.org/2016/08/how-to-make-an-animated-forest-fire-map-using-google-my-maps-and-carto/</link>
		
		<dc:creator>Gustavo Faleiros</dc:creator>
		<pubDate>Fri, 19 Aug 2016 20:55:52 +0000</pubDate>
				<category>Maps</category>
		<category>Visualization</category>
		<category>Carto</category>
		<category>cartography</category>
		<guid isPermaLink="false">https://geojournalism.org/?p=1520</guid>

					<description>&lt;p&gt;Introduction Agricultural &amp;#160;burning and forest fire are some of the planet&amp;#8217;s most serious environmental problems and, unfortunately, a very common occurrence in many countries. In the forests of the Amazon, the Congo Basin and Southeast Asia, fire can mean the advance of deforestation and most part of the fires are caused by humans in order [&amp;#8230;]&lt;/p&gt;
&lt;p&gt;The post &lt;a href="https://geojournalism.org/2016/08/how-to-make-an-animated-forest-fire-map-using-google-my-maps-and-carto/"&gt;How to make an animated  forest fire map using Google My Maps and Carto&lt;/a&gt; appeared first on &lt;a href="https://geojournalism.org"&gt;geojournalism.org&lt;/a&gt;.&lt;/p&gt;
</description>
										<ns4:encoded>&lt;h1 class="summary-item" id="introduction"&gt;&lt;a href="#introduction"&gt;Introduction&lt;/a&gt;&lt;/h1&gt;
&lt;p&gt;Agricultural  burning and forest fire are some of the planet’s most serious environmental problems and, unfortunately, a very common occurrence in many countries. In the forests of the Amazon, the Congo Basin and Southeast Asia, fire can mean the advance of deforestation and most part of the fires are caused by humans in order to “clear the ground” for agricultural production or new pastures.&lt;/p&gt;
&lt;p&gt;In this tutorial, we will demonstrate how you can create your own map of fire hotspots and update it in real time. This is made possible through the availability of data from satellites orbiting the Earth. These datasets are updated daily by NASA – the US space agency – and can be viewed with the help of two digital map-making tools – Google My Maps and Carto.&lt;/p&gt;
&lt;h1 class="summary-item" id="finding-firedata"&gt;&lt;a href="#finding-firedata"&gt;Finding FireData&lt;/a&gt;&lt;/h1&gt;
&lt;p&gt;The site &lt;a href="https://earthdata.nasa.gov/" target="_blank"&gt;Earth Data&lt;/a&gt; from NASA is one of the most complete repositories of  freely available satellite data. Through the NASA &lt;a href="https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms%20%20%C2%A0" target="_blank"&gt;FIRMS project (Fire Information Resource Management System)&lt;/a&gt; you can access real-time data in multiple file formats and also order time series to download. In this tutorial, we’ll work with the &lt;a href="https://geojournalism.org/tracks/csv/" target="_blank"&gt;CSV format&lt;/a&gt;, the table separated by commas.&lt;/p&gt;
&lt;p&gt;&lt;a href="https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms/active-fire-data" target="_blank"&gt;&lt;img alt="Active Fire Data site" class="aligncenter wp-image-1523" decoding="async" fetchpriority="high" height="326" sizes="(max-width: 640px) 100vw, 640px" src="https://geojournalism.org/wp-content/uploads/2016/03/Active-Fire-Data-site-1024x521.jpg" srcset="https://geojournalism.org/wp-content/uploads/2016/03/Active-Fire-Data-site-1024x521.jpg 1024w, https://geojournalism.org/wp-content/uploads/2016/03/Active-Fire-Data-site-300x153.jpg 300w, https://geojournalism.org/wp-content/uploads/2016/03/Active-Fire-Data-site.jpg 1898w" width="640"/&gt;&lt;/a&gt;&lt;/p&gt;
&lt;p style="text-align: center;"&gt;&lt;em&gt;This is the page of Active Fire Data on NASA’s Earth Data website&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;The first step after accessing the FIRMS page is to continue to &lt;a href="https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms/active-fire-data" target="_blank"&gt;Active Fire Data repository&lt;/a&gt;. There are two databases that can be used. One of them, the &lt;a href="https://modis.gsfc.nasa.gov/" target="_blank"&gt;MODIS sensor&lt;/a&gt;, although lower resolution (1 km), has the longest historical series because the sensor has been operating for years in the Terra and Aqua satellites. More recently, the  higher resolution (375 m) &lt;a href="https://jointmission.gsfc.nasa.gov/viirs.html" target="_blank"&gt;VIIRS sensor&lt;/a&gt;, has been generating large amounts of fire data. For this example, we will use the text file (CSV) of the MODIS sensor for the last 24 hours in Central Africa.&lt;/p&gt;
&lt;p&gt;&lt;img alt="Active Fire Data selection" class="aligncenter wp-image-1522" decoding="async" height="352" sizes="(max-width: 640px) 100vw, 640px" src="https://geojournalism.org/wp-content/uploads/2016/03/Active-Fire-Data-selection-1024x563.jpg" srcset="https://geojournalism.org/wp-content/uploads/2016/03/Active-Fire-Data-selection-1024x563.jpg 1024w, https://geojournalism.org/wp-content/uploads/2016/03/Active-Fire-Data-selection-300x165.jpg 300w, https://geojournalism.org/wp-content/uploads/2016/03/Active-Fire-Data-selection.jpg 1544w" width="640"/&gt;&lt;/p&gt;
&lt;p&gt;Once selected, the file can be saved as a CSV or its link may be used to update spreadsheets in real time. The dataset that contains the fires´information can be stored in a CSV file or can be stored directly on the Google spreadsheet that allows the constant update every time it is opened.To import a link just create a new spreadsheet and enter the following formula in any cell&lt;/p&gt;
&lt;p&gt;&lt;span style="line-height: 1.5;"&gt;&lt;/span&gt;&lt;/p&gt;&lt;div class="et-box et-shadow"&gt;
					&lt;div class="et-box-content"&gt;=ImportaData(“URL”)&lt;/div&gt;&lt;/div&gt;&lt;p&gt;&lt;/p&gt;
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&lt;p&gt;&lt;img alt="Formula Import 2" class="aligncenter wp-image-1534" decoding="async" height="548" sizes="(max-width: 640px) 100vw, 640px" src="https://geojournalism.org/wp-content/uploads/2016/03/Formula-Import-2-1024x877.jpg" srcset="https://geojournalism.org/wp-content/uploads/2016/03/Formula-Import-2-1024x877.jpg 1024w, https://geojournalism.org/wp-content/uploads/2016/03/Formula-Import-2-300x257.jpg 300w, https://geojournalism.org/wp-content/uploads/2016/03/Formula-Import-2.jpg 1153w" width="640"/&gt;
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			&lt;img alt="full spreadsheet" class="aligncenter wp-image-1537" decoding="async" height="440" loading="lazy" sizes="auto, (max-width: 640px) 100vw, 640px" src="https://geojournalism.org/wp-content/uploads/2016/03/full-spreadsheet-1024x704.jpg" srcset="https://geojournalism.org/wp-content/uploads/2016/03/full-spreadsheet-1024x704.jpg 1024w, https://geojournalism.org/wp-content/uploads/2016/03/full-spreadsheet-300x206.jpg 300w, https://geojournalism.org/wp-content/uploads/2016/03/full-spreadsheet.jpg 1454w" width="640"/&gt;
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&lt;h1 class="summary-item" id="opening-the-dataset-in-each-mapping-software"&gt;&lt;a href="#opening-the-dataset-in-each-mapping-software"&gt;Opening the dataset in each mapping software&lt;/a&gt;&lt;/h1&gt;
&lt;p&gt;Now just open the CSV file directly in the visualization software.&lt;/p&gt;
&lt;p&gt;Let’s start with Google My Maps&lt;/p&gt;
&lt;p&gt;1. Choose to create a new Google My Maps on Google Drive menu&lt;/p&gt;
&lt;p&gt;&lt;a href="https://geojournalism.org/wp-content/uploads/2016/03/selecting-mymaps.jpg"&gt;&lt;img alt="selecting mymaps" class="aligncenter wp-image-1544" decoding="async" height="469" loading="lazy" sizes="auto, (max-width: 640px) 100vw, 640px" src="https://geojournalism.org/wp-content/uploads/2016/03/selecting-mymaps.jpg" srcset="https://geojournalism.org/wp-content/uploads/2016/03/selecting-mymaps.jpg 990w, https://geojournalism.org/wp-content/uploads/2016/03/selecting-mymaps-300x220.jpg 300w" width="640"/&gt;&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;2. Click Add New Layer ‘and’ Import ‘&lt;/p&gt;
&lt;p&gt;&lt;a href="https://geojournalism.org/wp-content/uploads/2016/03/Import-my-maps.jpg"&gt;&lt;img alt="Import my maps" class="aligncenter wp-image-1538" decoding="async" height="480" loading="lazy" sizes="auto, (max-width: 640px) 100vw, 640px" src="https://geojournalism.org/wp-content/uploads/2016/03/Import-my-maps-1024x768.jpg" srcset="https://geojournalism.org/wp-content/uploads/2016/03/Import-my-maps-1024x768.jpg 1024w, https://geojournalism.org/wp-content/uploads/2016/03/Import-my-maps-300x225.jpg 300w, https://geojournalism.org/wp-content/uploads/2016/03/Import-my-maps.jpg 1302w" width="640"/&gt;&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;3. Use the option to attach a Google spreadsheet to your map. Alternatively, you can upload the CSV spreadsheet directly.&lt;/p&gt;
&lt;p&gt;&lt;a href="https://geojournalism.org/wp-content/uploads/2016/03/selecting-spreadsheet-my-maps.jpg"&gt;&lt;img alt="selecting spreadsheet my maps" class="aligncenter wp-image-1545" decoding="async" height="330" loading="lazy" sizes="auto, (max-width: 640px) 100vw, 640px" src="https://geojournalism.org/wp-content/uploads/2016/03/selecting-spreadsheet-my-maps-1024x528.jpg" srcset="https://geojournalism.org/wp-content/uploads/2016/03/selecting-spreadsheet-my-maps-1024x528.jpg 1024w, https://geojournalism.org/wp-content/uploads/2016/03/selecting-spreadsheet-my-maps-300x155.jpg 300w, https://geojournalism.org/wp-content/uploads/2016/03/selecting-spreadsheet-my-maps.jpg 1909w" width="640"/&gt;&lt;/a&gt;&lt;/p&gt;
&lt;div class="et-box et-warning"&gt;
					&lt;div class="et-box-content"&gt;Google Spreadsheets with more than a 1000 points will not load on Google My Maps&lt;/div&gt;&lt;/div&gt;
&lt;p&gt;Now do the same in Carto.com&lt;/p&gt;
&lt;p&gt;1. Connect to the Carto (a free account 250MB meets our exercise).&lt;br/&gt;
&lt;a href="https://geojournalism.org/wp-content/uploads/2016/03/CartoDB-Login.jpg"&gt;&lt;img alt="CartoDB Login" class="aligncenter wp-image-1524" decoding="async" height="307" loading="lazy" sizes="auto, (max-width: 640px) 100vw, 640px" src="https://geojournalism.org/wp-content/uploads/2016/03/CartoDB-Login-1024x491.jpg" srcset="https://geojournalism.org/wp-content/uploads/2016/03/CartoDB-Login-1024x491.jpg 1024w, https://geojournalism.org/wp-content/uploads/2016/03/CartoDB-Login-300x144.jpg 300w, https://geojournalism.org/wp-content/uploads/2016/03/CartoDB-Login.jpg 1915w" width="640"/&gt;&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;2. Select the option ‘Connect Dataset’ and load the CSV file.&lt;br/&gt;
&lt;img alt="dataset page cartodb" class="aligncenter wp-image-1528" decoding="async" height="349" loading="lazy" sizes="auto, (max-width: 640px) 100vw, 640px" src="https://geojournalism.org/wp-content/uploads/2016/03/dataset-page-cartodb-1024x559.jpg" srcset="https://geojournalism.org/wp-content/uploads/2016/03/dataset-page-cartodb-1024x559.jpg 1024w, https://geojournalism.org/wp-content/uploads/2016/03/dataset-page-cartodb-300x164.jpg 300w, https://geojournalism.org/wp-content/uploads/2016/03/dataset-page-cartodb.jpg 1714w" width="640"/&gt;&lt;/p&gt;
&lt;p&gt;3. Another way to load data is to use the link CSV (in a paid account, you have the option of synchronizing the dataset.)&lt;br/&gt;
&lt;img alt="full spreadsheet carto db" class="aligncenter wp-image-1536" decoding="async" height="316" loading="lazy" sizes="auto, (max-width: 640px) 100vw, 640px" src="https://geojournalism.org/wp-content/uploads/2016/03/full-spreadsheet-carto-db-1024x505.jpg" srcset="https://geojournalism.org/wp-content/uploads/2016/03/full-spreadsheet-carto-db-1024x505.jpg 1024w, https://geojournalism.org/wp-content/uploads/2016/03/full-spreadsheet-carto-db-300x148.jpg 300w, https://geojournalism.org/wp-content/uploads/2016/03/full-spreadsheet-carto-db.jpg 1888w" width="640"/&gt;&lt;/p&gt;
&lt;h1 class="summary-item" id="stylizing-the-maps-on-google-my-maps-and-carto-com"&gt;&lt;a href="#stylizing-the-maps-on-google-my-maps-and-carto-com"&gt;Stylizing the maps on Google My Maps and Carto.com&lt;/a&gt;&lt;/h1&gt;
&lt;p&gt;In both programs you can change the style and color of the icons. It can also draw simple graphical analysis, as categorization or animation data by time.&lt;/p&gt;
&lt;p&gt;In Google My Maps do the following tests&lt;/p&gt;
&lt;p&gt;1. Change the icon, both its shape and color or load your own icon by clicking on layer and choosing More Icons&amp;gt;Custom Icon&lt;br/&gt;
&lt;img alt="Final my maps" class="aligncenter wp-image-1532" decoding="async" height="319" loading="lazy" sizes="auto, (max-width: 640px) 100vw, 640px" src="https://geojournalism.org/wp-content/uploads/2016/03/Final-my-maps-1024x510.jpg" srcset="https://geojournalism.org/wp-content/uploads/2016/03/Final-my-maps-1024x510.jpg 1024w, https://geojournalism.org/wp-content/uploads/2016/03/Final-my-maps-300x149.jpg 300w, https://geojournalism.org/wp-content/uploads/2016/03/Final-my-maps.jpg 1910w" width="640"/&gt;&lt;/p&gt;
&lt;p&gt;2. Sort the data tying colors to any of the parameters&lt;br/&gt;
&lt;a href="https://geojournalism.org/wp-content/uploads/2016/08/Google-my-maps.png"&gt;&lt;img alt="" class="aligncenter wp-image-1654 size-full" decoding="async" height="339" loading="lazy" sizes="auto, (max-width: 587px) 100vw, 587px" src="https://geojournalism.org/wp-content/uploads/2016/08/Google-my-maps.png" srcset="https://geojournalism.org/wp-content/uploads/2016/08/Google-my-maps.png 587w, https://geojournalism.org/wp-content/uploads/2016/08/Google-my-maps-300x173.png 300w" width="587"/&gt;&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;In the case of Carto you can do more elaborate analysis. Make the following tests&lt;/p&gt;
&lt;p&gt;1. Divide into categories as done also in Google My Maps&lt;/p&gt;
&lt;p&gt;&lt;img alt="final + customize cartodb" class="aligncenter wp-image-1531" decoding="async" height="313" loading="lazy" sizes="auto, (max-width: 640px) 100vw, 640px" src="https://geojournalism.org/wp-content/uploads/2016/03/final-customize-cartodb-1024x501.jpg" srcset="https://geojournalism.org/wp-content/uploads/2016/03/final-customize-cartodb-1024x501.jpg 1024w, https://geojournalism.org/wp-content/uploads/2016/03/final-customize-cartodb-300x147.jpg 300w, https://geojournalism.org/wp-content/uploads/2016/03/final-customize-cartodb.jpg 1910w" width="640"/&gt;&lt;/p&gt;
&lt;p&gt;2. Make a map of animated points per time like this one done for South America. For this you need to &lt;a href="https://carto.com/docs/tutorials/heatmap/" target="_blank"&gt;activate the Torque tool&lt;br/&gt;
&lt;/a&gt;&lt;br/&gt;
&lt;iframe allowfullscreen="allowfullscreen" frameborder="0" height="520" loading="lazy" src="https://gufalei.carto.com/viz/dd6eac5c-581a-11e6-8e06-0e05a8b3e3d7/embed_map" width="100%"&gt;&lt;/iframe&gt;&lt;/p&gt;
&lt;h1 class="summary-item" id="share-and-use-maps-in-their-reports"&gt;&lt;a href="#share-and-use-maps-in-their-reports"&gt;Share and use maps in their reports&lt;/a&gt;&lt;/h1&gt;
&lt;p&gt;Now, just share publish and share the map.&lt;/p&gt;
&lt;p&gt;1. Both in Google My Maps with the Carto you have the option of sharing the link or the embed HTML Code.&lt;/p&gt;
&lt;p&gt;&lt;img alt="embed my maps" class="aligncenter wp-image-1530" decoding="async" height="572" loading="lazy" sizes="auto, (max-width: 640px) 100vw, 640px" src="https://geojournalism.org/wp-content/uploads/2016/03/embed-my-maps.jpg" srcset="https://geojournalism.org/wp-content/uploads/2016/03/embed-my-maps.jpg 1001w, https://geojournalism.org/wp-content/uploads/2016/03/embed-my-maps-300x268.jpg 300w" width="640"/&gt;&lt;/p&gt;
&lt;p&gt;&lt;img alt="embed cartodb" class="aligncenter wp-image-1529" decoding="async" height="447" loading="lazy" sizes="auto, (max-width: 640px) 100vw, 640px" src="https://geojournalism.org/wp-content/uploads/2016/03/embed-cartodb-1024x715.jpg" srcset="https://geojournalism.org/wp-content/uploads/2016/03/embed-cartodb-1024x715.jpg 1024w, https://geojournalism.org/wp-content/uploads/2016/03/embed-cartodb-300x210.jpg 300w, https://geojournalism.org/wp-content/uploads/2016/03/embed-cartodb.jpg 1271w" width="640"/&gt;&lt;/p&gt;

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			&lt;img alt="" src="https://media.licdn.com/mpr/mpr/shrinknp_200_200/AAEAAQAAAAAAAAlOAAAAJGJmNmMxZTFiLWY5ODUtNGFlNy05MTE0LTZjNDk3ZWJmNWRkMA.jpg"/&gt;
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		&lt;div class="author-info"&gt;
			&lt;strong&gt;Gustavo Faleiros&lt;/strong&gt; is an environmental journalist and media trainer who specializes in data-driven journalism. In 2012, he launched &lt;a href="https://infoamazonia.org/" target="_blank"&gt;InfoAmazonia&lt;/a&gt;, a digital map that uses satellite and other publicly available data to monitor the Amazon rainforest.
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&lt;p&gt;The post &lt;a href="https://geojournalism.org/2016/08/how-to-make-an-animated-forest-fire-map-using-google-my-maps-and-carto/"&gt;How to make an animated  forest fire map using Google My Maps and Carto&lt;/a&gt; appeared first on &lt;a href="https://geojournalism.org"&gt;geojournalism.org&lt;/a&gt;.&lt;/p&gt;
</ns4:encoded>
					
		
		
		<ns2:post-id>1520</ns2:post-id>	</item>
		<item>
		<title>Choosing the right kind of map for your story</title>
		<link>https://geojournalism.org/2013/08/map-styles/</link>
		
		<dc:creator>Gustavo Faleiros</dc:creator>
		<pubDate>Fri, 09 Aug 2013 15:25:53 +0000</pubDate>
				<category>Design</category>
		<category>Maps</category>
		<category>Visualization</category>
		<category>map design</category>
		<category>maps</category>
		<guid isPermaLink="false">https://dev.cardume.art.br/toolkit/?p=179</guid>

					<description>&lt;p&gt;Most available databases have some element of location to them. According to officers working at the open data portal of the US government, around 90% of their datasets contain geographical information, ranging from streets names to precise coordinates. In this tutorial, we will show the different kind of maps you can use to convey information [&amp;#8230;]&lt;/p&gt;
&lt;p&gt;The post &lt;a href="https://geojournalism.org/2013/08/map-styles/"&gt;Choosing the right kind of map for your story&lt;/a&gt; appeared first on &lt;a href="https://geojournalism.org"&gt;geojournalism.org&lt;/a&gt;.&lt;/p&gt;
</description>
										<ns4:encoded>&lt;p&gt;Most available databases have some element of location to them. According to officers working at the open data portal of the US government, around 90% of their datasets contain geographical information, ranging from streets names to precise coordinates. In this tutorial, we will show the different kind of maps you can use to convey information and enable users to interact with and explore the environmental data you’ve gathered to support your story.&lt;/p&gt;
&lt;h2 class="summary-item" id="points-of-interest"&gt;&lt;a href="#points-of-interest"&gt;Points of interest&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Points are the simplest symbol used to make maps. You can simply pin your map with a specific location you would like to highlight or you can include many points, or icons on several locations to represent your data.&lt;/p&gt;
&lt;p&gt;On the example below, done on &lt;a href="https://geojournalism.org/tools/fusion-tables/" title="Fusion Tables"&gt;Google Fusion Tables&lt;/a&gt;, the species of Butterflies are mapped in Costa Rica.&lt;/p&gt;
&lt;p&gt;&lt;iframe frameborder="no" height="350" loading="lazy" scrolling="no" src="https://www.google.com/fusiontables/embedviz?q=select+col12+from+1yooILLPC5cFA9y2TEedmBkHA8aO-JbpbcXsBeq4&amp;amp;viz=MAP&amp;amp;h=false&amp;amp;lat=10.901887452028856&amp;amp;lng=-85.40865571411138&amp;amp;t=1&amp;amp;z=10&amp;amp;l=col12&amp;amp;y=2&amp;amp;tmplt=2" width="820"&gt;&lt;/iframe&gt;&lt;/p&gt;
&lt;h2 class="summary-item" id="polygon-maps"&gt;&lt;a href="#polygon-maps"&gt;Polygon Maps&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;These maps are useful when area, boundaries, shapes or limits need to be represented. A classical example is world boundaries map or a map representing the different natural physiology within a protected area&lt;/p&gt;
&lt;div class="wp-caption aligncenter" style="width: 692px"&gt;&lt;img alt="" decoding="async" height="477" loading="lazy" src="https://upload.wikimedia.org/wikipedia/commons/e/e4/Last_glacial_vegetation_map.png" width="682"/&gt;&lt;p class="wp-caption-text"&gt;World Vegetation Map with data of the National Geophysical Data Center. Courtesy of Wikimedia Commons&lt;/p&gt;&lt;/div&gt;
&lt;h2 class="summary-item" id="heat-maps"&gt;&lt;a href="#heat-maps"&gt;Heat Maps&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;When a concentration of occurrences or points of interest happen in a same location, it is possible to group certain areas together using an average value over an area. Also known as isoline maps, and used often for visualizing weather data, “heat” maps can used to visualize particularly intense concentrations evident in your data.&lt;/p&gt;
&lt;p&gt;The example bellow shows the biodiversity hotspots around the globe by measuring biomass density.&lt;/p&gt;
&lt;div class="wp-caption aligncenter" style="width: 810px"&gt;&lt;img alt="" class="" decoding="async" height="473" loading="lazy" src="https://e360.yale.edu/images/slideshows/gallery_ncsu_biodiversity_hotspots_global.jpg" width="800"/&gt;&lt;p class="wp-caption-text"&gt;The red areas represent those with highest species density and the blue territories , the lowest. Courtesy of Saving Species 2012&lt;/p&gt;&lt;/div&gt;
&lt;h2 class="summary-item" id="bubble-map"&gt;&lt;a href="#bubble-map"&gt;Bubble Map&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;This kind of map is similar to a point map with the difference that you scale the size of the points according to numerical values, creating the a bubble look to highlight events on specific location. This map style is also referred to as a “graduated symbols” map since a designer is not limited to circles for their symbols.&lt;/p&gt;
&lt;p&gt;On the following example, the locations of forest fires are scaled according to the number of events. This map was done on &lt;a href="https://geojournalism.org/tools/tableau-public-software/" target="_blank" title="Tableau"&gt;Tableau Public Software&lt;/a&gt;.&lt;/p&gt;
&lt;div class="wp-caption aligncenter" style="width: 692px"&gt;&lt;img alt="" decoding="async" src="https://www.tableausoftware.com/public/sites/default/files/Bubble%20Map%20Forest%20Fires.png" width="682"/&gt;&lt;p class="wp-caption-text"&gt;The size of the bubbles over the map represent the amount acres burned, showing that the West Coast of US is more affected over a period of 10 years. Image: Courtesy Tableau Public&lt;/p&gt;&lt;/div&gt;
&lt;h2 class="summary-item" id="cloropleth-map"&gt;&lt;a href="#cloropleth-map"&gt;Cloropleth map&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Coloring polygons like country boundaries according to the values represented on the map is the &lt;a href="https://en.wikipedia.org/wiki/Choropleth_map" target="_blank"&gt;cloropleth map&lt;/a&gt;. This classic form of cartography maybe the most well recognized map style. Political maps like the ones that show divisions between Republicans and Democrats in the US are on every TV newsshow and newspaper. But there are many more ways to use this style map. One of them is applying a gradient respecting a numerical range. To choose colors, we recommend the tool &lt;a href="https://geojournalism.org/tools/color-brewer/" target="_blank" title="Color Brewer"&gt;Color Brewer&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;Here is an example of a cloropleth done in the project InfoAmazonia showing the quantity of heads of cattle per municipality in the north of Brazil&lt;/p&gt;
&lt;p&gt;&lt;iframe frameborder="0" height="480" loading="lazy" src="https://infoamazonia.org/en/embed/?no_stories=1&amp;amp;map_id=2530&amp;amp;width=820&amp;amp;height=480&amp;amp;lat=-7.710991655433229&amp;amp;lon=-59.23828124999999&amp;amp;zoom=5" width="820"&gt;&lt;/iframe&gt;&lt;/p&gt;
&lt;h2 class="summary-item" id="cartogram"&gt;&lt;a href="#cartogram"&gt;Cartogram&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;A cartogram distorts the size of shapes on the map according to the the values they represent. The example bellow reshape the size of the countries according to their carbon emissions. As you can see immediately, US and China get really swollen while the whole African continent almost disappear&lt;/p&gt;
&lt;div class="wp-caption aligncenter" style="width: 690px"&gt;&lt;img alt="" decoding="async" src="https://www.viewsoftheworld.net/wp-content/uploads/2010/11/CarbonEmissionMap_2009.jpg" width="680"/&gt;&lt;p class="wp-caption-text"&gt;Map originally published at &lt;a href="http://www.viewoftheworld.net" rel="nofollow"&gt;http://www.viewoftheworld.net&lt;/a&gt;&lt;/p&gt;&lt;/div&gt;

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			&lt;strong&gt;Gustavo Faleiros&lt;/strong&gt; is an environmental journalist and media trainer who specializes in data-driven journalism. In 2012, he launched &lt;a href="https://infoamazonia.org/" target="_blank"&gt;InfoAmazonia&lt;/a&gt;, a digital map that uses satellite and other publicly available data to monitor the Amazon rainforest.
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&lt;p&gt;The post &lt;a href="https://geojournalism.org/2013/08/map-styles/"&gt;Choosing the right kind of map for your story&lt;/a&gt; appeared first on &lt;a href="https://geojournalism.org"&gt;geojournalism.org&lt;/a&gt;.&lt;/p&gt;
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		<title>Basic Environmental Data: sources for mining information</title>
		<link>https://geojournalism.org/2013/08/basic-environmental-data-sources-for-mining-information/</link>
		
		<dc:creator>Gustavo Faleiros</dc:creator>
		<pubDate>Wed, 07 Aug 2013 21:15:11 +0000</pubDate>
				<category>Data</category>
		<category>environmental data</category>
		<category>satellite imagery</category>
		<guid isPermaLink="false">https://dev.cardume.art.br/toolkit/?p=141</guid>

					<description>&lt;p&gt;Here we bring a collection of sources on different geodata. The way this tutorial is organized follows some of the bigger issues concerning the environmental coverage such as climate change, deforestation, water stress among many others Introduction Journalists and data visualizers cannot complain about the lack of sources on environmental issues. Because of years of [&amp;#8230;]&lt;/p&gt;
&lt;p&gt;The post &lt;a href="https://geojournalism.org/2013/08/basic-environmental-data-sources-for-mining-information/"&gt;Basic Environmental Data: sources for mining information&lt;/a&gt; appeared first on &lt;a href="https://geojournalism.org"&gt;geojournalism.org&lt;/a&gt;.&lt;/p&gt;
</description>
										<ns4:encoded>&lt;p&gt;Here we bring a collection of sources on different geodata. The way this tutorial is organized follows some of the bigger issues concerning the environmental coverage such as climate change, deforestation, water stress among many others&lt;/p&gt;
&lt;h2 class="summary-item" id="introduction"&gt;&lt;a href="#introduction"&gt;Introduction&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Journalists and data visualizers cannot complain about the lack of sources on environmental issues. Because of years of scientific research and decades of earth observation, datasets are available in huge amounts and  most often in open formats.&lt;/p&gt;
&lt;p&gt;Here we bring a collection of sources on different geodata. The way this tutorial is organized follows some of the bigger issues concerning the environmental coverage such as climate change, deforestation, water stress among many others. We also indicate the tutorials you should follow if you would like to manipulate, map and visualize these data.&lt;/p&gt;
&lt;h2 class="summary-item" id="daily-active-fire"&gt;&lt;a href="#daily-active-fire"&gt;Daily active fire&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Fire pixels or hot spots all over the world are monitored by NASA satellites. On the NASA´s &lt;a href="https://earthdata.nasa.gov/" target="_blank"&gt;Earth Data&lt;/a&gt; website you will find the link for the FIRMS project (Fire Information for Resource Management System). There you will find links for &lt;a href="https://geojournalism.org/glossary/79/" target="_blank" title="CSV"&gt;CSV&lt;/a&gt;, &lt;a href="https://geojournalism.org/glossary/77/" target="_blank" title="SHP (Shapefile)"&gt;Shapefiles (SHP)&lt;/a&gt;, &lt;a href="https://geojournalism.org/glossary/78/" target="_blank" title="KML/KMZ"&gt;KML&lt;/a&gt; (Google Earth format) and &lt;a href="https://geojournalism.org/glossary/721/" target="_blank" title="Web service"&gt;web services&lt;/a&gt;, covering the last 24hs, 48hs and 72 hours.&lt;/p&gt;
&lt;p&gt;A good form to keep track of the forest fires in your area of interest is to sign up for email alerts&lt;/p&gt;
&lt;div class="wp-caption aligncenter" id="attachment_154" style="width: 554px"&gt;&lt;a href="https://dev.cardume.art.br/toolkit/wp-content/uploads/2013/08/email-alerts-firms.jpg"&gt;&lt;img alt="email alerts firms" aria-describedby="caption-attachment-154" class="wp-image-154" decoding="async" height="326" loading="lazy" src="https://dev.cardume.art.br/toolkit/wp-content/uploads/2013/08/email-alerts-firms.jpg" width="544"/&gt;&lt;/a&gt;&lt;p class="wp-caption-text" id="caption-attachment-154"&gt;The website and the page where you can sign up for email alerts on forest fire&lt;/p&gt;&lt;/div&gt;
&lt;p style="text-align: left;"&gt;For larger datasets, covering several days months and even years of fire pixel, you can use the download tool also available at the website.&lt;/p&gt;
&lt;p&gt;This is an example of what you can do with these datasets when you map the data. There is information both from fire pixel over the month of July in South America, but also a analysis of the biggest fire events since 2000.&lt;br/&gt;
&lt;iframe frameborder="0" height="400" loading="lazy" src="https://infoamazonia.org/embed/?map_only=1&amp;amp;map_id=3502&amp;amp;width=600&amp;amp;height=400&amp;amp;lat=-6.140554782450295&amp;amp;lon=-56.33789062499999&amp;amp;zoom=4" width="600"&gt;&lt;/iframe&gt;&lt;/p&gt;
&lt;h2 class="summary-item" id="protected-areas"&gt;&lt;a href="#protected-areas"&gt;Protected areas&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Limits of National Parks, reserves and indigenous land are essential when creating a map or to contextualize your environmental story. The best source for it is the website &lt;a href="https://www.protectedplanet.net/" target="_blank"&gt;Protected Planet&lt;/a&gt;, done by the World Commission on Protected Areas, a UN body.&lt;/p&gt;
&lt;p&gt;There you can download &lt;a href="https://geojournalism.org/glossary/79/" target="_blank" title="CSV"&gt;CSV&lt;/a&gt;, &lt;a href="https://geojournalism.org/glossary/77/" target="_blank" title="SHP (Shapefile)"&gt;SHP&lt;/a&gt; and &lt;a href="https://geojournalism.org/glossary/78/" target="_blank" title="KML/KMZ"&gt;KML&lt;/a&gt; with the boundaries of virtually every protected area in the planet. There is also information on the species existing on these areas and the status of their conservation, either if there are threatened or not of extinction.&lt;/p&gt;
&lt;p&gt;This is the kind of map you can do by uploading a KML file on Google Maps for example&lt;/p&gt;
&lt;p style="text-align: center;"&gt;&lt;iframe frameborder="0" height="350" loading="lazy" marginheight="0" marginwidth="0" scrolling="no" src="https://maps.google.com/maps/ms?msa=0&amp;amp;msid=217417509911840200241.0004d03ac1c596975f522&amp;amp;hl=en&amp;amp;ie=UTF8&amp;amp;t=h&amp;amp;ll=-7.482345,-55.745025&amp;amp;spn=2.26417,1.01857&amp;amp;output=embed" width="425"&gt;&lt;/iframe&gt;&lt;br/&gt;
&lt;small&gt;&lt;br/&gt;
&lt;/small&gt;&lt;/p&gt;
&lt;h2 class="summary-item" id="data-on-the-state-of-the-artic-and-the-antartic"&gt;&lt;a href="#data-on-the-state-of-the-artic-and-the-antartic"&gt;Data on the state of the Artic and the Antartic&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Due to Climate Change, a lot of attention has been paid on the state of planets ice environment, or the criosphere.&lt;/p&gt;
&lt;p&gt;&lt;a href="https://nsidc.org/" target="_blank"&gt;The&lt;/a&gt;&lt;a href="https://nsidc.org/" target="_blank"&gt; National&lt;/a&gt;&lt;a href="https://nsidc.org/" target="_blank"&gt; Snow and Ice Data Center (NSIDC)&lt;/a&gt; provides spreadsheets, charts, KMLs and shapefiles that allows easy visualizations and data analysis of the extent of sea ice in the Artic or ice sheets in the Antartic.&lt;/p&gt;
&lt;p&gt;The downloads are well explained on the &lt;a href="https://nsidc.org/data/docs/noaa/g02135_seaice_index/#daily_data_files" target="_blank"&gt;Sea Ice Index Page&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;A good way of using this data is to create Google Earth Tours like the one that follows:&lt;/p&gt;
&lt;p style="text-align: center;"&gt;&lt;iframe allowfullscreen="allowfullscreen" frameborder="0" height="360" loading="lazy" src="//www.youtube.com/embed/waMJP7n3_-I" width="640"&gt;&lt;/iframe&gt;&lt;/p&gt;
&lt;h2 class="summary-item" id="ghg-emissions-on-country-level"&gt;&lt;a href="#ghg-emissions-on-country-level"&gt;GHG emissions on country level&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;The United Nations Framework Convention On Climate Change (UNFCCC) receives official data from governments on emissions of Greenhouse Gases.&lt;/p&gt;
&lt;p&gt;The data can be found their website on a section called &lt;a href="https://unfccc.int/ghg_data/items/3800.php" target="_blank"&gt;GHG Data&lt;/a&gt;. There is data for specific pollutants, such as&lt;/p&gt;
&lt;p&gt;CO2 – Carbon dioxide&lt;br/&gt;
CH4 – Methane&lt;br/&gt;
N2O – Nitrous oxide&lt;br/&gt;
PFCs – Perfluorocarbons&lt;br/&gt;
HFCs – Hydrofluorocarbons&lt;br/&gt;
SF6 – Sulphur hexafluoride&lt;/p&gt;
&lt;p&gt;as well as for the indirect greenhouse gases such as SO2, NOx, CO and NMVOC.&lt;/p&gt;
&lt;p&gt;The data is provided on XLXs with values divided by country signatories of the Convention. The format allows you to create simple charts for ranking the main emitters, like this.&lt;/p&gt;
&lt;p&gt;&lt;img alt="" class="aligncenter" decoding="async" src="https://docs.google.com/spreadsheet/oimg?key=0Anx0wudPaqDTdFVtMTRPdGxYdzA5MHYxWEVPUHZ2Q3c&amp;amp;oid=6&amp;amp;zx=i68v0ol28snd" width="600"/&gt;&lt;/p&gt;
&lt;h2 class="summary-item" id="forestry-and-deforestation"&gt;&lt;a href="#forestry-and-deforestation"&gt;Forestry and deforestation&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;Some of the best data compiled on forestry and forest resources can be found on United Nation´s Food and Agriculture Organization (FAO). Every five years they publish their &lt;a href="https://www.fao.org/forestry/fra/fra2010/en/" target="_blank"&gt;“Global Forest Resource Assessment”&lt;/a&gt; and also they keep and update stats page (&lt;a href="https://faostat3.fao.org/home/index.html#DOWNLOAD" target="_blank"&gt;FAOSTAT&lt;/a&gt;) on trade and production of forest products, allowing the user to customize their tables for download.&lt;/p&gt;
&lt;p&gt;On the example bellow is a simple thematic map done with Google Spreadsheet using the numbers of the 2010 global assessment. Here we are showing the countries colored by the size of forest land.&lt;/p&gt;
&lt;p&gt;&lt;img alt="" class="aligncenter" decoding="async" src="https://docs.google.com/spreadsheet/oimg?key=0Anx0wudPaqDTdHE4ZUFVdE9ub3pEMnBjY0Zub1hSTXc&amp;amp;oid=2&amp;amp;zx=y8jieryfiyc4"/&gt;&lt;/p&gt;
&lt;h2 class="summary-item" id="oceans"&gt;&lt;a href="#oceans"&gt;Oceans&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;The US National Ocean and Atmosphere Administration (NOAA) holds a rich database with information the salinity, oxygen saturation, phosphate concentration, among others indicators of sea health. One visiting the webpage of the &lt;a href="https://www.nodc.noaa.gov/" target="_blank"&gt;Oceanographic Data Center (NODC)&lt;/a&gt; might get overwhelmed by the amount and complexity of information. The formats are not the usual spreadsheets, but there are some analysis ready to be used.&lt;/p&gt;
&lt;p&gt;For example, if you access the figures database is possible to find useful information on oceans temperature, like the one below.&lt;/p&gt;
&lt;p&gt;&lt;img alt="" class="aligncenter" decoding="async" src="https://data.nodc.noaa.gov/woa/WOA09F/temperature/JPEG/t_0_0_1.jpg" width="680"/&gt;&lt;/p&gt;

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			Knight International Journalism Fellow &lt;strong&gt;Gustavo Faleiros&lt;/strong&gt; is an environmental journalist and media trainer who specializes in data-driven journalism. During his first Knight International Journalism Fellowship last year, Faleiros launched &lt;a href="https://infoamazonia.org/" target="_blank"&gt;InfoAmazonia&lt;/a&gt;, a digital map that uses satellite and other publicly available data to monitor the Amazon rainforest. Before his fellowship, Faleiros helped create the Amazon Communications Network, which trained journalists and produced 200 stories about environmental issues in the region. The network sprang from his earlier accomplishments at the Brazilian environmental news site &lt;a href="https://www.oeco.com.br/" target="_blank"&gt;O Eco&lt;/a&gt;, where Faleiros introduced the use of satellite images and interactive maps. Faleiros earned a bachelor’s degree in journalism from &lt;a href="https://www.pucsp.br/" target="_blank"&gt;Pontificia Universidade Católica do Sao Paulo&lt;/a&gt; and a master’s degree in environment, politics and globalization from &lt;a href="https://www.kcl.ac.uk/index.aspx" target="_blank"&gt;King’s College London&lt;/a&gt;.
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&lt;p&gt;The post &lt;a href="https://geojournalism.org/2013/08/basic-environmental-data-sources-for-mining-information/"&gt;Basic Environmental Data: sources for mining information&lt;/a&gt; appeared first on &lt;a href="https://geojournalism.org"&gt;geojournalism.org&lt;/a&gt;.&lt;/p&gt;
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