{"id":404,"date":"2009-08-17T19:39:00","date_gmt":"2009-08-17T19:39:00","guid":{"rendered":"https:\/\/blogs.lib.uconn.edu\/outsidetheneatline\/2009\/08\/17\/did-you-know-6-raster-vs-vector\/"},"modified":"2009-08-17T19:39:00","modified_gmt":"2009-08-17T19:39:00","slug":"did-you-know-6-raster-vs-vector","status":"publish","type":"post","link":"https:\/\/blogs.lib.uconn.edu\/outsidetheneatline\/2009\/08\/17\/did-you-know-6-raster-vs-vector\/","title":{"rendered":"Did You Know? #6 Raster Vs. Vector"},"content":{"rendered":"<div style=\"line-height: normal;margin-bottom: 1pt\">Geographic Information Systems (<a href=\"http:\/\/www.gis.com\/\">GIS<\/a>) primarily use two categories of digital data: 1) Raster Data and 2) Vector Data.<a href=\"http:\/\/3.bp.blogspot.com\/_8_Fszb0X5EE\/Somy3TsiT4I\/AAAAAAAAADc\/3GXZrn-RLIY\/s1600-h\/Raster_Vector.png\"><img decoding=\"async\" alt=\"\" border=\"0\" src=\"http:\/\/3.bp.blogspot.com\/_8_Fszb0X5EE\/Somy3TsiT4I\/AAAAAAAAADc\/3GXZrn-RLIY\/s400\/Raster_Vector.png\" style=\"cursor: pointer;height: 283px;margin: 0px auto 10px;text-align: center;width: 495px\" \/><\/a><\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt;text-align: center\"><a href=\"http:\/\/3.bp.blogspot.com\/_8_Fszb0X5EE\/Somy3TsiT4I\/AAAAAAAAADc\/3GXZrn-RLIY\/s1600-h\/Raster_Vector.png\"><span style=\"font-weight: bold\">Figure #1. <\/span><span style=\"font-style: italic\">Left: Raster Data. Right: Vector Data.<\/span><\/a><\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt;text-align: center\"><\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt\"> <\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt\"><span style=\"font-size: 130%\"><span style=\"font-weight: bold\">Raster Data:<\/span><\/span> <\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt\">Raster Data portrays real world data as a matrix or a grid of cells (see <a href=\"http:\/\/3.bp.blogspot.com\/_8_Fszb0X5EE\/Somy3TsiT4I\/AAAAAAAAADc\/3GXZrn-RLIY\/s1600-h\/Raster_Vector.png\">Figure #1<\/a>).  Raster data is very good at storing continuous data (for example: precipitation, temperature, and elevation).  Each cell stores information numerically, usually between 0-255 and has a geographical location.  A weakness of raster data is that the cells are squares and most real world information doesn\u2019t fit into a perfect square(<a href=\"http:\/\/2.bp.blogspot.com\/_8_Fszb0X5EE\/SomzmYhB8dI\/AAAAAAAAADk\/QG5w8a81hKc\/s1600-h\/Raster_Vector2.png\">See Figure#2<\/a>).  So sometimes a map made with satellite imagery will either underestimate or overestimate a land cover type.<\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt\"> <\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt\"><span style=\"font-size: 130%\"><span style=\"font-weight: bold\"> <br \/><\/span><\/span><\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt\"><span style=\"font-size: 130%\"><span style=\"font-weight: bold\">Vector Data:<\/span><\/span> <\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt\">Vector Data portrays real world data as a point, line or polygon.  Vector data is very good at storing discrete data (for example: political boundaries, rivers, lakes, land parcels, and streets). Each point, line, or polygon is called a feature and has a unique ID# (<a href=\"http:\/\/2.bp.blogspot.com\/_8_Fszb0X5EE\/SomzmYhB8dI\/AAAAAAAAADk\/QG5w8a81hKc\/s1600-h\/Raster_Vector2.png\">see Figure #2<\/a>). Attribute information can be added to each feature in geographical space. A weakness of vector data is that it sometimes needs great amounts of processing power to run a complex analysis.<\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt\"><\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt;text-align: center\"><a href=\"http:\/\/2.bp.blogspot.com\/_8_Fszb0X5EE\/SomzmYhB8dI\/AAAAAAAAADk\/QG5w8a81hKc\/s1600-h\/Raster_Vector2.png\"><img decoding=\"async\" alt=\"\" border=\"0\" src=\"http:\/\/2.bp.blogspot.com\/_8_Fszb0X5EE\/SomzmYhB8dI\/AAAAAAAAADk\/QG5w8a81hKc\/s400\/Raster_Vector2.png\" style=\"cursor: pointer;height: 338px;margin: 0px auto 10px;text-align: center;width: 485px\" \/><span style=\"font-weight: bold\"> <br \/><\/span><span style=\"font-weight: bold\">Figure #2<\/span>. <span style=\"font-style: italic\">Left: Raster Data. Right: Vector Data<\/span><\/a><\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt;text-align: center\"><a href=\"http:\/\/2.bp.blogspot.com\/_8_Fszb0X5EE\/SomzmYhB8dI\/AAAAAAAAADk\/QG5w8a81hKc\/s1600-h\/Raster_Vector2.png\"><span style=\"font-style: italic\"> <br \/><\/span><\/a><\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt;text-align: center\">Below are links to examples of raster (Source: <a href=\"http:\/\/www.esri.com\/\">ESR<\/a>I) and vector data (Source: <a href=\"http:\/\/www.ct.gov\/dep\/site\/default.asp\">CT DEP<\/a>, <a href=\"http:\/\/magic.lib.uconn.edu\/\">MAGIC<\/a>) <\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt;text-align: center\"><span style=\"font-size: 180%\">Click to view an example of vector data (point features): <br \/><\/span><\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt;text-align: left\"><a href=\"http:\/\/magic.lib.uconn.edu\/mash_up\/1951_aerial_index.html\"><img decoding=\"async\" alt=\"\" border=\"0\" src=\"http:\/\/magic.lib.uconn.edu\/images\/Google-Earth-48.png\" style=\"height: 48px;margin: 0px auto 10px;text-align: center;width: 48px\" \/><\/a><\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt;text-align: center\"><span style=\"font-size: 180%\">Click to view an example of vector data (polygon features):<\/span><\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt;text-align: left\"><a href=\"http:\/\/maps.google.com\/maps?q=http:\/\/magic.lib.uconn.edu\/magic_2\/vector\/37800\/placesct_37800_0000_2008_s100_census_1_kml.kmz\"><img decoding=\"async\" alt=\"\" border=\"0\" src=\"http:\/\/magic.lib.uconn.edu\/images\/Google-Earth-48.png\" style=\"cursor: pointer;height: 48px;margin: 0px auto 10px;text-align: center;width: 48px\" \/><\/a><\/div>\n<div style=\"text-align: left\">\n<div style=\"line-height: normal;margin-bottom: 1pt;text-align: center\"><span style=\"font-size: 180%\">Click to view an example of vector data (Line features):<\/span><\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt;text-align: left\"><a href=\"http:\/\/maps.google.com\/maps?q=http:\/\/magic.lib.uconn.edu\/magic_2\/vector\/37800\/roadct_37800_0000_1995_s250_ctdep_1_kml.kmz\"><img decoding=\"async\" alt=\"\" border=\"0\" src=\"http:\/\/magic.lib.uconn.edu\/images\/Google-Earth-48.png\" style=\"height: 48px;margin: 0px auto 10px;text-align: center;width: 48px\" \/><\/a><\/div>\n<div style=\"line-height: normal;margin-bottom: 1pt;text-align: center\"><a href=\"http:\/\/www.esri.com\/mapmuseum\/mapbook_gallery\/volume19\/safety6.html\"><span style=\"font-size: 180%\">Click to view an example of raster data.<\/span><\/a> <\/div>\n<\/div>\n<!-- AddThis Advanced Settings generic via filter on the_content --><!-- AddThis Share Buttons generic via filter on the_content -->","protected":false},"excerpt":{"rendered":"<p>Geographic Information Systems (GIS) primarily use two categories of digital data: 1) Raster Data and 2) Vector Data. Figure #1. Left: Raster Data. Right: Vector Data. Raster Data: Raster Data portrays real world data as a matrix or a grid &hellip; <a href=\"https:\/\/blogs.lib.uconn.edu\/outsidetheneatline\/2009\/08\/17\/did-you-know-6-raster-vs-vector\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><!-- AddThis Advanced Settings generic via filter on get_the_excerpt --><!-- AddThis Share Buttons generic via filter on get_the_excerpt --><\/p>\n","protected":false},"author":20,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[90,45],"tags":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p9NL4O-6w","_links":{"self":[{"href":"https:\/\/blogs.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/posts\/404"}],"collection":[{"href":"https:\/\/blogs.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/comments?post=404"}],"version-history":[{"count":0,"href":"https:\/\/blogs.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/posts\/404\/revisions"}],"wp:attachment":[{"href":"https:\/\/blogs.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/media?parent=404"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/categories?post=404"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/tags?post=404"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}