{"id":166301,"date":"2018-04-27T19:03:04","date_gmt":"2018-04-27T19:03:04","guid":{"rendered":"http:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=166301"},"modified":"2018-04-30T14:15:57","modified_gmt":"2018-04-30T14:15:57","slug":"context-mapping-fires-and-population","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/context-mapping-fires-and-population","title":{"rendered":"Context Mapping: Fires and Population"},"author":6971,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[22941],"tags":[26451,32331],"industry":[],"product":[36561],"class_list":["post-166301","blog","type-blog","status-publish","format-standard","hentry","category-mapping","tag-cartography","tag-how-to","product-arcgis-pro"],"acf":{"short_description":"Some of the most compelling cartography comes from the blending of two datasets. Here's one way to do it.","flexible_content":[{"acf_fc_layout":"content","content":"

Here is a map of the lower 48 United States. It shows population as graduated ring symbols and cumulative fire (2017 – 2018) as graduated…fire symbols. Both are spatially represented within the same hexagonal mesh. This is so discrete comparisons can be made. While the layers’ symbols overlap one another, they are designed to be viewed concurrently so a visual relationship can be inferred by the map reader pretty readily.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":166691,"id":166691,"title":"FiresAndPopulation_Small","filename":"FiresAndPopulation_Small.jpg","filesize":56492,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FiresAndPopulation_Small.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/context-mapping-fires-and-population\/firesandpopulation_small","alt":"","author":"6971","description":"","caption":"","name":"firesandpopulation_small","status":"inherit","uploaded_to":166301,"date":"2018-04-27 17:00:45","modified":"2018-04-27 17:00:45","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":846,"height":564,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FiresAndPopulation_Small.jpg","thumbnail-width":213,"thumbnail-height":142,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FiresAndPopulation_Small.jpg","medium-width":392,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FiresAndPopulation_Small.jpg","medium_large-width":768,"medium_large-height":512,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FiresAndPopulation_Small.jpg","large-width":846,"large-height":564,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FiresAndPopulation_Small.jpg","1536x1536-width":846,"1536x1536-height":564,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FiresAndPopulation_Small.jpg","2048x2048-width":846,"2048x2048-height":564,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FiresAndPopulation_Small.jpg","card_image-width":698,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FiresAndPopulation_Small.jpg","wide_image-width":846,"wide_image-height":564}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FiresAndPopulation.jpg"},{"acf_fc_layout":"content","content":"

Data<\/h2>\n

Fires<\/h3>\n

The fire data comes from the multi-talented MODIS<\/a> satellite system (thanks yet again, NASA!) and is brokered and made available by the US Forest Service<\/a>. I downloaded all of 2017 and 2018 (up to the date of download, which was late April). Its lidless unresting robo-eye looks down at the earth and sends back instances of “thermal anomalies” including the “fire radiative power” which tells you how scorching the fire is (not all fires are equal).<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":166731,"id":166731,"title":"FireDownload","filename":"FireDownload.jpg","filesize":109919,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FireDownload.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/context-mapping-fires-and-population\/firedownload","alt":"","author":"6971","description":"","caption":"","name":"firedownload","status":"inherit","uploaded_to":166301,"date":"2018-04-27 17:21:43","modified":"2018-04-27 17:21:43","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":840,"height":677,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FireDownload.jpg","thumbnail-width":213,"thumbnail-height":172,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FireDownload.jpg","medium-width":324,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FireDownload.jpg","medium_large-width":768,"medium_large-height":619,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FireDownload.jpg","large-width":840,"large-height":677,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FireDownload.jpg","1536x1536-width":840,"1536x1536-height":677,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FireDownload.jpg","2048x2048-width":840,"2048x2048-height":677,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FireDownload.jpg","card_image-width":577,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FireDownload.jpg","wide_image-width":840,"wide_image-height":677}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/fsapps.nwcg.gov\/afm\/gisdata.php"},{"acf_fc_layout":"content","content":"

Population<\/h3>\n

The population data is a fun thing. I took the massive massive set of census block populations and spatially joined them to a hexagonal mesh. Why? Because hexagons rule and because it is a fantastic base for making equitable thematic maps. All the hexes are the same shape and the same size, isolating so many problematic variables inherent in political polygons, plus the inclusion of population data means it’s all ready for normalization! You can download this snazzy little thematic building block here<\/a>.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":166741,"id":166741,"title":"PopGrid","filename":"PopGrid.jpg","filesize":98860,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/PopGrid.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/context-mapping-fires-and-population\/popgrid","alt":"","author":"6971","description":"","caption":"","name":"popgrid","status":"inherit","uploaded_to":166301,"date":"2018-04-27 17:22:11","modified":"2018-04-27 17:22:11","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":997,"height":959,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/PopGrid.jpg","thumbnail-width":208,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/PopGrid.jpg","medium-width":271,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/PopGrid.jpg","medium_large-width":768,"medium_large-height":739,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/PopGrid.jpg","large-width":997,"large-height":959,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/PopGrid.jpg","1536x1536-width":997,"1536x1536-height":959,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/PopGrid.jpg","2048x2048-width":997,"2048x2048-height":959,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/PopGrid.jpg","card_image-width":483,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/PopGrid.jpg","wide_image-width":997,"wide_image-height":959}},"image_position":"center","orientation":"horizontal","hyperlink":"http:\/\/nation.maps.arcgis.com\/home\/item.html?id=adce6842badb4e8492128cee51755db2"},{"acf_fc_layout":"content","content":"

How To<\/h2>\n

Let’s fire up ArcGIS Pro and take a look at our layers…<\/p>\n

Here’s that hexagonal population layer.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":166751,"id":166751,"title":"1PopulationHex","filename":"1PopulationHex.jpg","filesize":160879,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/1PopulationHex.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/context-mapping-fires-and-population\/1populationhex","alt":"","author":"6971","description":"","caption":"","name":"1populationhex","status":"inherit","uploaded_to":166301,"date":"2018-04-27 17:25:19","modified":"2018-04-27 17:25:19","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1040,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/1PopulationHex.jpg","thumbnail-width":213,"thumbnail-height":115,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/1PopulationHex.jpg","medium-width":464,"medium-height":251,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/1PopulationHex.jpg","medium_large-width":768,"medium_large-height":416,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/1PopulationHex.jpg","large-width":1920,"large-height":1040,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/1PopulationHex.jpg","1536x1536-width":1536,"1536x1536-height":832,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/1PopulationHex.jpg","2048x2048-width":1920,"2048x2048-height":1040,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/1PopulationHex.jpg","card_image-width":826,"card_image-height":447,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/1PopulationHex.jpg","wide_image-width":1920,"wide_image-height":1040}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/1PopulationHex.jpg"},{"acf_fc_layout":"content","content":"

And on top of this I’ve added in the fire data.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":166761,"id":166761,"title":"2FiresRaw","filename":"2FiresRaw.jpg","filesize":224065,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/2FiresRaw.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/context-mapping-fires-and-population\/2firesraw","alt":"","author":"6971","description":"","caption":"","name":"2firesraw","status":"inherit","uploaded_to":166301,"date":"2018-04-27 17:27:50","modified":"2018-04-27 17:27:50","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1040,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/2FiresRaw.jpg","thumbnail-width":213,"thumbnail-height":115,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/2FiresRaw.jpg","medium-width":464,"medium-height":251,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/2FiresRaw.jpg","medium_large-width":768,"medium_large-height":416,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/2FiresRaw.jpg","large-width":1920,"large-height":1040,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/2FiresRaw.jpg","1536x1536-width":1536,"1536x1536-height":832,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/2FiresRaw.jpg","2048x2048-width":1920,"2048x2048-height":1040,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/2FiresRaw.jpg","card_image-width":826,"card_image-height":447,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/2FiresRaw.jpg","wide_image-width":1920,"wide_image-height":1040}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/2FiresRaw.jpg"},{"acf_fc_layout":"content","content":"

These two layers, when shown simultaneously, give a hint at the eventual goal. Fires in the context of population. [non sequitur moment<\/em>: these colors look inadvertently like the Loyola Marymount basketball team uni’s in the 1980s]<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":166771,"id":166771,"title":"3Concurrent","filename":"3Concurrent.jpg","filesize":217994,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/3Concurrent.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/context-mapping-fires-and-population\/3concurrent","alt":"","author":"6971","description":"","caption":"","name":"3concurrent","status":"inherit","uploaded_to":166301,"date":"2018-04-27 17:29:17","modified":"2018-04-27 17:29:17","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1040,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/3Concurrent.jpg","thumbnail-width":213,"thumbnail-height":115,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/3Concurrent.jpg","medium-width":464,"medium-height":251,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/3Concurrent.jpg","medium_large-width":768,"medium_large-height":416,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/3Concurrent.jpg","large-width":1920,"large-height":1040,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/3Concurrent.jpg","1536x1536-width":1536,"1536x1536-height":832,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/3Concurrent.jpg","2048x2048-width":1920,"2048x2048-height":1040,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/3Concurrent.jpg","card_image-width":826,"card_image-height":447,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/3Concurrent.jpg","wide_image-width":1920,"wide_image-height":1040}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/3Concurrent.jpg"},{"acf_fc_layout":"content","content":"

But, where the fires tend to be extra dense, and severe, they cover up the population layer. This sort of defeats the purpose of making a comparative map of the two layers. But, we cartographers have lots of tricks up our sleeves, and all the tricks have a common goal: to increase visual communication. In this case, I think it would help if fires were also binned up into the hexagons, just like population. Then, with a single layer containing two attributes of interest, it’s just a matter of symbology. Let’s roll those fires into the hexagons…<\/p>\n

Spatial Join (fires into hexagons)<\/h3>\n

A spatial join lets you push the attributes of one layer into the shapes of another layer, based on location. I still think of this as a sort of magic. I want to pull the fire data into the population hexagons. So I right-clicked the hexagon layer and chose Spatial Join.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":166791,"id":166791,"title":"4SpatialJoin","filename":"4SpatialJoin.jpg","filesize":248253,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/4SpatialJoin.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/context-mapping-fires-and-population\/4spatialjoin","alt":"","author":"6971","description":"","caption":"","name":"4spatialjoin","status":"inherit","uploaded_to":166301,"date":"2018-04-27 17:37:52","modified":"2018-04-27 17:37:52","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1040,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/4SpatialJoin.jpg","thumbnail-width":213,"thumbnail-height":115,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/4SpatialJoin.jpg","medium-width":464,"medium-height":251,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/4SpatialJoin.jpg","medium_large-width":768,"medium_large-height":416,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/4SpatialJoin.jpg","large-width":1920,"large-height":1040,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/4SpatialJoin.jpg","1536x1536-width":1536,"1536x1536-height":832,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/4SpatialJoin.jpg","2048x2048-width":1920,"2048x2048-height":1040,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/4SpatialJoin.jpg","card_image-width":826,"card_image-height":447,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/4SpatialJoin.jpg","wide_image-width":1920,"wide_image-height":1040}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/4SpatialJoin.jpg"},{"acf_fc_layout":"content","content":"

Then you can point the shapes in the direction of the layer whose attributes they are to devour. When combining the attributes of lots of point features into any one hexagon shape, you get some aggregation options. I chose to “sum” the FRP attribute. FRP is\u00a0fire radiative power<\/em>, so adding them all up into their destination hexagons is the right thing to do to get a cumulative amount of the fire-power experience in that area.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":166811,"id":166811,"title":"5SpatialJoinMenu","filename":"5SpatialJoinMenu.png","filesize":12256,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/5SpatialJoinMenu.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/context-mapping-fires-and-population\/5spatialjoinmenu","alt":"","author":"6971","description":"","caption":"","name":"5spatialjoinmenu","status":"inherit","uploaded_to":166301,"date":"2018-04-27 17:39:06","modified":"2018-04-27 17:39:06","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":364,"height":882,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/5SpatialJoinMenu.png","thumbnail-width":83,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/5SpatialJoinMenu.png","medium-width":108,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/5SpatialJoinMenu.png","medium_large-width":364,"medium_large-height":882,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/5SpatialJoinMenu.png","large-width":364,"large-height":882,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/5SpatialJoinMenu.png","1536x1536-width":364,"1536x1536-height":882,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/5SpatialJoinMenu.png","2048x2048-width":364,"2048x2048-height":882,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/5SpatialJoinMenu.png","card_image-width":192,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/5SpatialJoinMenu.png","wide_image-width":364,"wide_image-height":882}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/5SpatialJoinMenu.png"},{"acf_fc_layout":"content","content":"

And there you have it! Now I’ve got a hexagon layer with both population counts AND fire power. Here’s what the newly mushed-in fire data looks like with graduated colors…<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":166901,"id":166901,"title":"6AggregatedFires","filename":"6AggregatedFires.jpg","filesize":159396,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/6AggregatedFires.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/context-mapping-fires-and-population\/6aggregatedfires","alt":"","author":"6971","description":"","caption":"","name":"6aggregatedfires","status":"inherit","uploaded_to":166301,"date":"2018-04-27 17:44:30","modified":"2018-04-27 17:44:30","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1040,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/6AggregatedFires.jpg","thumbnail-width":213,"thumbnail-height":115,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/6AggregatedFires.jpg","medium-width":464,"medium-height":251,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/6AggregatedFires.jpg","medium_large-width":768,"medium_large-height":416,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/6AggregatedFires.jpg","large-width":1920,"large-height":1040,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/6AggregatedFires.jpg","1536x1536-width":1536,"1536x1536-height":832,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/6AggregatedFires.jpg","2048x2048-width":1920,"2048x2048-height":1040,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/6AggregatedFires.jpg","card_image-width":826,"card_image-height":447,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/6AggregatedFires.jpg","wide_image-width":1920,"wide_image-height":1040}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Fiery. But, not all of the hexagons actually experienced any fire over the past couple years, so we’ll want to exclude those from the visualization using a definition query<\/a>.\u00a0 In this case, I just want to show hexagons where fires actually happened, preventing tiny little symbols of no-fire from hogging our minds’ visualization horsepower..<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":166941,"id":166941,"title":"7DefinitionQuery","filename":"7DefinitionQuery.png","filesize":8139,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/7DefinitionQuery.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/context-mapping-fires-and-population\/7definitionquery","alt":"","author":"6971","description":"","caption":"","name":"7definitionquery","status":"inherit","uploaded_to":166301,"date":"2018-04-27 17:47:23","modified":"2018-04-27 17:47:23","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":640,"height":415,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/7DefinitionQuery.png","thumbnail-width":213,"thumbnail-height":138,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/7DefinitionQuery.png","medium-width":403,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/7DefinitionQuery.png","medium_large-width":640,"medium_large-height":415,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/7DefinitionQuery.png","large-width":640,"large-height":415,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/7DefinitionQuery.png","1536x1536-width":640,"1536x1536-height":415,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/7DefinitionQuery.png","2048x2048-width":640,"2048x2048-height":415,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/7DefinitionQuery.png","card_image-width":640,"card_image-height":415,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/7DefinitionQuery.png","wide_image-width":640,"wide_image-height":415}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/7DefinitionQuery.png"},{"acf_fc_layout":"content","content":"

That’s better…<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":166981,"id":166981,"title":"8AggregatedFireExclusions","filename":"8AggregatedFireExclusions.jpg","filesize":159171,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/8AggregatedFireExclusions.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/context-mapping-fires-and-population\/8aggregatedfireexclusions","alt":"","author":"6971","description":"","caption":"","name":"8aggregatedfireexclusions","status":"inherit","uploaded_to":166301,"date":"2018-04-27 17:52:11","modified":"2018-04-27 17:52:11","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1040,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/8AggregatedFireExclusions.jpg","thumbnail-width":213,"thumbnail-height":115,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/8AggregatedFireExclusions.jpg","medium-width":464,"medium-height":251,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/8AggregatedFireExclusions.jpg","medium_large-width":768,"medium_large-height":416,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/8AggregatedFireExclusions.jpg","large-width":1920,"large-height":1040,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/8AggregatedFireExclusions.jpg","1536x1536-width":1536,"1536x1536-height":832,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/8AggregatedFireExclusions.jpg","2048x2048-width":1920,"2048x2048-height":1040,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/8AggregatedFireExclusions.jpg","card_image-width":826,"card_image-height":447,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/8AggregatedFireExclusions.jpg","wide_image-width":1920,"wide_image-height":1040}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/8AggregatedFireExclusions.jpg"},{"acf_fc_layout":"content","content":"

Graduated Fire Symbology<\/h3>\n

But just because our population and fire data are now in hexagonal polygons, there’s no reason we are stuck with simple fill colors for symbology. If you expand the symbology dropdown, you’ll see Graduated Symbols<\/a> as an option. This renders a point symbol smack in the middle and represents lower values as smaller symbols and higher values as larger symbols. And since we are talking about fires there is no way that I’d let such a golden opportunity to use Firefly symbology<\/a> slip by…<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":167041,"id":167041,"title":"9FireGraduatedSymbols","filename":"9FireGraduatedSymbols.jpg","filesize":135448,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/9FireGraduatedSymbols.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/context-mapping-fires-and-population\/9firegraduatedsymbols","alt":"","author":"6971","description":"","caption":"","name":"9firegraduatedsymbols","status":"inherit","uploaded_to":166301,"date":"2018-04-27 17:59:16","modified":"2018-04-27 17:59:16","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1040,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/9FireGraduatedSymbols.jpg","thumbnail-width":213,"thumbnail-height":115,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/9FireGraduatedSymbols.jpg","medium-width":464,"medium-height":251,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/9FireGraduatedSymbols.jpg","medium_large-width":768,"medium_large-height":416,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/9FireGraduatedSymbols.jpg","large-width":1920,"large-height":1040,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/9FireGraduatedSymbols.jpg","1536x1536-width":1536,"1536x1536-height":832,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/9FireGraduatedSymbols.jpg","2048x2048-width":1920,"2048x2048-height":1040,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/9FireGraduatedSymbols.jpg","card_image-width":826,"card_image-height":447,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/9FireGraduatedSymbols.jpg","wide_image-width":1920,"wide_image-height":1040}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/9FireGraduatedSymbols.jpg"},{"acf_fc_layout":"content","content":"

Graduated Population Symbology<\/h3>\n

And we can do the same thing with the population attribute. I made a copy of the hexagon layer and chose Graduated Symbols, pointing it at the population attribute. And, since we want to see fires and<\/em> population at the same time, without one covering the other up, just use a ring symbol. Sneaky, huh? You can see through rings; no need to go filling them in willy-nilly, asking for trouble.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":167091,"id":167091,"title":"10PopulationGraduatedSymbols","filename":"10PopulationGraduatedSymbols.jpg","filesize":196734,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/10PopulationGraduatedSymbols.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/context-mapping-fires-and-population\/10populationgraduatedsymbols","alt":"","author":"6971","description":"","caption":"","name":"10populationgraduatedsymbols","status":"inherit","uploaded_to":166301,"date":"2018-04-27 18:06:20","modified":"2018-04-27 18:06:20","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1040,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/10PopulationGraduatedSymbols.jpg","thumbnail-width":213,"thumbnail-height":115,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/10PopulationGraduatedSymbols.jpg","medium-width":464,"medium-height":251,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/10PopulationGraduatedSymbols.jpg","medium_large-width":768,"medium_large-height":416,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/10PopulationGraduatedSymbols.jpg","large-width":1920,"large-height":1040,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/10PopulationGraduatedSymbols.jpg","1536x1536-width":1536,"1536x1536-height":832,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/10PopulationGraduatedSymbols.jpg","2048x2048-width":1920,"2048x2048-height":1040,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/10PopulationGraduatedSymbols.jpg","card_image-width":826,"card_image-height":447,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/10PopulationGraduatedSymbols.jpg","wide_image-width":1920,"wide_image-height":1040}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/10PopulationGraduatedSymbols.jpg"},{"acf_fc_layout":"content","content":"

Supplemental Context<\/h3>\n

Now for a bit of context. I like to drop in a really faint political boundary layer to help folks orient themselves in the layout. In this case I’ve used this line dropshadow hack<\/a> to give their edges a slight jump-off-iness.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":167151,"id":167151,"title":"11States","filename":"11States.jpg","filesize":167907,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/11States.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/context-mapping-fires-and-population\/11states","alt":"","author":"6971","description":"","caption":"","name":"11states","status":"inherit","uploaded_to":166301,"date":"2018-04-27 18:12:34","modified":"2018-04-27 18:12:34","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1040,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/11States.jpg","thumbnail-width":213,"thumbnail-height":115,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/11States.jpg","medium-width":464,"medium-height":251,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/11States.jpg","medium_large-width":768,"medium_large-height":416,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/11States.jpg","large-width":1920,"large-height":1040,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/11States.jpg","1536x1536-width":1536,"1536x1536-height":832,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/11States.jpg","2048x2048-width":1920,"2048x2048-height":1040,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/11States.jpg","card_image-width":826,"card_image-height":447,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/11States.jpg","wide_image-width":1920,"wide_image-height":1040}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/11States.jpg"},{"acf_fc_layout":"content","content":"

Legend<\/h3>\n

Lastly, as much as I generally avoid legends, sometimes a helpful little explainer graphic is a fun and helpful addition. If I’m going to break down and add a legend, I at least am going to give it as much attention as the rest of the map. Here’s<\/a> how you can do that sort of thing. If you must.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":167251,"id":167251,"title":"12Legend","filename":"12Legend.png","filesize":76542,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/12Legend.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/context-mapping-fires-and-population\/12legend","alt":"","author":"6971","description":"","caption":"","name":"12legend","status":"inherit","uploaded_to":166301,"date":"2018-04-27 18:26:16","modified":"2018-04-27 18:26:16","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1458,"height":710,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/12Legend.png","thumbnail-width":213,"thumbnail-height":104,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/12Legend.png","medium-width":464,"medium-height":226,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/12Legend.png","medium_large-width":768,"medium_large-height":374,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/12Legend.png","large-width":1458,"large-height":710,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/12Legend.png","1536x1536-width":1458,"1536x1536-height":710,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/12Legend.png","2048x2048-width":1458,"2048x2048-height":710,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/12Legend.png","card_image-width":826,"card_image-height":402,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/12Legend.png","wide_image-width":1458,"wide_image-height":710}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/12Legend.png"},{"acf_fc_layout":"content","content":"

And that’s it! A bivariate-ish map showing fires and population.<\/p>\n

Context<\/h2>\n

Why show them both at the same time? Because context drives meaning. Why not show other things, like roads and oceans and north arrows and neatlines? When shown in this distilled context there is a platform to invite comparisons. All thematic mapping is based on the question of…compared to what<\/em>. And when you quite literally show two, and only two, phenomena then the mind becomes a comparison machine. In this spartan condition you can’t escape the fires-where-people-are context. Other maps, that show hillshade and elevation and climactic conditions can help you understand the nature of fires. But this map isn’t concerned with that any more than it is with the westward population expansion and urban sprawl inherent in the underlying population data. Those things are important drivers in follow-up conversations that this map may inspire. But a map has to first inspire to drive conversation.<\/p>\n

Billy Wilder<\/a> used to say regarding story writing, give the audience 2+2 and let them figure out 4; they’ll thank you for it<\/em>. I think the same can apply to some maps, if that’s its purpose.<\/p>\n

Happy Mapping! John Nelson<\/a><\/p>\n"}],"authors":[{"ID":6971,"user_firstname":"John","user_lastname":"Nelson","nickname":"John Nelson","user_nicename":"j_nelson","display_name":"John Nelson","user_email":"John_Nelson@esri.com","user_url":"http:\/\/www.adventuresinmapping.com","user_registered":"2018-03-02 00:19:05","user_description":"I have far too much fun looking for ways to understand and present data visually, hopefully driving product strategy and engaging users. I work in the ArcGIS Living Atlas team at Esri, pushing and pulling data in all sorts of absurd ways and then sharing the process. I also design user experiences for maps and apps.\r\nWhen I'm not doing those things, I'm chasing around toddlers and wrangling chickens, and generally getting into other ad-hoc adventures. Life is good.\r\nYou might also like these Styles for ArcGIS Pro: esriurl.com\/nelsonstyles","user_avatar":""}],"related_articles":[{"ID":123291,"post_author":"6971","post_date":"2018-03-07 13:32:13","post_date_gmt":"2018-03-07 13:32:13","post_content":"Firefly<\/a>...the map style that captures our attention and dutifully honors the First Law of Geography. Those of us that know it best think about it often. I swear...the maps I've seen. Sometimes it gives me pause, though, Firefly being free, belonging to every cartographer who wants to take a chance. I have to remind myself that some map styles aren't meant to be caged. Their radiance is just too bright. And the part of me that knows it was a sin to keep it to myself does rejoice<\/a>.\n\nSo here it is<\/a>. Do interesting things with your data.\n\nThe Firefly style<\/a> consists of the following point, line, and polygon symbols, packaged up for your adventures in ArcGIS Pro...\n\n\"\"<\/a>\n\nThere are 20 pre-defined colors available for each symbol (but there is no reason you can't tweak them for whatever visualization scheme you cook up). Here is a reference of their numbering...\n\n\"\"<\/a>\n\nTo add these to your Pro project, first download the Firefly.stylx<\/a> file and save it to your machine. From your project's Catalog panel, right-click the Styles<\/a> category and choose to add a style<\/em>.\n\n\"\"<\/a>\n\nPoint it to your Firefly.stylx file and you are good to go. Thereafter, the firefly styles will be available in the project via the Symbology panel's Gallery.\n\n\"\"<\/a>\n\nSo many possibilities. But where to start?\n

Points<\/h2>\nHere's a look at the standard Firefly point symbol, in this case showing, obviously, Taco Bell locations scaled by revenue...\n\n\"\"<\/a>\n\nBut sometimes you want to turn your Firefly point features up to eleven. I've got you covered. There is an alternative version with a twinkly lens flare shimmer sort of thing going on. Like in this map of luminescent earthquakes...\n\n\"\"<\/a>\n

Lines<\/h2>\nFirefly has two line styles. But, again, you can totally play with the Symbol settings to teach it whatever tricks you need. Here is the standard, solid, line illustrated in this map of glowtastic graticules...\n\n\"\"<\/a>\n\nBut sometimes you just need a dashed line. So here is an example of the dashed Firefly line style applied to contour lines in the Pacific Northwest...\n\n\"\"<\/a>\n

Polygons<\/h2>\nHere is a look at the Firefly polygon style. It is a glowing boundary with a faint fill, applied to these Mediterranean bathymetric zones, submitted for your approval...\n\n\"\"<\/a>\n\nBut when you have adjacent polygons, which is often the case with human geography data, the glowing edges of the Firefly polygons can bleed into, or overlap, each other and sort of make a mess. So here is an alternate version of the polygon fill with only an inner<\/em> glow, as evidenced by these hexbins of aggregated Chipotle locations...\n\n\"\"<\/a>\n

Basemaps<\/h2>\nAh, basemaps. When it comes to Firefly cartography, the basemap is a big player. A firefly basemap ought to be dark and nearly devoid of color. Conveniently, we have a Firefly global image service<\/a> that you can use as a basemap. If that's too busy, then I recommend Dark Gray Canvas vector tiles as an alternate.\n

Thematics<\/h2>\nJust because there is a spectral set of colors available, please don't use all of them in a thematic map. The rainbow color scheme has lots of problems<\/a> for perception in scientific visualizations. I recommend using up to 6<\/strong> consecutive firefly colors if you are putting together a classed thematic map. Any more than that and you start to span into another dominant hue and perception diminishes.\n\n\"\"<\/a>\n\nIf you need contrasting colors, the colors opposite each other on this wheel tend to be differentiated well. Of course be careful<\/a> to avoid colors that are particularly problematic for those with color-deficient vision.\n

No Color<\/h2>\nDon't want a color but still want a glowy Firefly map? No worries; there is a non-colorized version of each symbol, just look at this map of top college football prospects, scaled by player size...\n\n\"\"<\/a>\n\nHappy Firefly Mapping! John<\/a>","post_title":"Steal This Firefly Style Please","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"steal-this-firefly-style-please","to_ping":"","pinged":"","post_modified":"2018-05-30 16:40:08","post_modified_gmt":"2018-05-30 16:40:08","post_content_filtered":"","post_parent":0,"guid":"http:\/\/www.esri.com\/arcgis-blog\/products\/product\/uncategorized\/steal-this-firefly-style-please\/","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":74431,"post_author":"6971","post_date":"2016-12-06 08:30:06","post_date_gmt":"2016-12-06 08:30:06","post_content":"","post_title":"Six Months of Drought in the American Southeast","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"six-months-of-drought-in-the-american-southeast","to_ping":"","pinged":"","post_modified":"2018-03-26 21:11:07","post_modified_gmt":"2018-03-26 21:11:07","post_content_filtered":"","post_parent":0,"guid":"http:\/\/www.esri.com\/arcgis-blog\/products\/product\/uncategorized\/six-months-of-drought-in-the-american-southeast\/","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FiresAndPopulation_card.jpg","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/FiresAndPopulation_banner.jpg"},"yoast_head":"\nContext Mapping: Fires and Population<\/title>\n<meta name=\"description\" content=\"Some of the most compelling cartography comes from the blending of two datasets. 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