All language subtitles for 03_what-is-a-gis.en

af Afrikaans
sq Albanian
am Amharic
ar Arabic Download
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bn Bengali
bs Bosnian
bg Bulgarian
ca Catalan
ceb Cebuano
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
tl Filipino
fi Finnish
fr French
fy Frisian
gl Galician
ka Georgian
de German
el Greek
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
km Khmer
ko Korean
ku Kurdish (Kurmanji)
ky Kyrgyz
lo Lao
la Latin
lv Latvian
lt Lithuanian
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mn Mongolian
my Myanmar (Burmese)
ne Nepali
no Norwegian
ps Pashto
fa Persian
pl Polish
pt Portuguese
pa Punjabi
ro Romanian
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
st Sesotho
sn Shona
sd Sindhi
si Sinhala
sk Slovak
sl Slovenian
so Somali
es Spanish
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
te Telugu
th Thai
tr Turkish
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
or Odia (Oriya)
rw Kinyarwanda
tk Turkmen
tt Tatar
ug Uyghur
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:01,200 --> 00:00:02,780 What is a GIS anyway? 2 00:00:02,780 --> 00:00:03,320 Let's find out. 3 00:00:05,060 --> 00:00:08,600 A GIS stands for geographic information system. 4 00:00:09,650 --> 00:00:14,640 And let me just stop here and emphasize, as much as I possibly can, 5 00:00:14,640 --> 00:00:17,110 that it is not a proper name. 6 00:00:17,110 --> 00:00:21,071 So when you're using the full term in a sentence, geographic information system, 7 00:00:21,071 --> 00:00:22,201 it is not capitalized. 8 00:00:22,201 --> 00:00:26,503 A lot of people want to because the acronym, the short form of it, 9 00:00:26,503 --> 00:00:28,079 GIS, is capitalized. 10 00:00:28,079 --> 00:00:30,839 But when you're using the full version in a sentence, 11 00:00:30,839 --> 00:00:33,181 when you spell it out, it is not capitalized. 12 00:00:33,181 --> 00:00:35,080 Why am I going on about this? 13 00:00:35,080 --> 00:00:38,055 Only because I think it's important to pay attention to these details. 14 00:00:38,055 --> 00:00:40,493 If you're new to this field and you're going to be writing about it, 15 00:00:40,493 --> 00:00:42,950 you want to look like you know what you're talking about. 16 00:00:42,950 --> 00:00:45,840 So every once in a while I'll point out things like that, just so 17 00:00:45,840 --> 00:00:49,169 it's clear that you know how to use these terms correctly, that's all. 18 00:00:49,169 --> 00:00:52,766 I'm not being super pedantic here, maybe I am. 19 00:00:52,766 --> 00:00:54,600 Okay, guilty as charged. 20 00:00:54,600 --> 00:01:00,313 So GIS is an acronym, so it's capitalized, and by the way, there's no periods either. 21 00:01:00,313 --> 00:01:05,806 That's something that also people want to include, is that when it's GIS, the short 22 00:01:05,806 --> 00:01:11,245 form, no periods, and there are capital letters, long form, no capital letters. 23 00:01:11,245 --> 00:01:12,134 You get it, okay. 24 00:01:12,134 --> 00:01:14,814 Just thought I would make that clear because, seriously, 25 00:01:14,814 --> 00:01:16,810 there is a lot of terminology in this field. 26 00:01:16,810 --> 00:01:18,603 I just want to make sure that you're using it correctly. 27 00:01:18,603 --> 00:01:22,488 So let's talk a little bit about the history of GIS, 28 00:01:22,488 --> 00:01:25,591 how did it start, where did it come from? 29 00:01:25,591 --> 00:01:30,192 And it turns out that the very first GIS was invented in Canada, so 30 00:01:30,192 --> 00:01:33,718 yay Canada, yay, whoppee, whoo-hoo, yeah! 31 00:01:33,718 --> 00:01:39,420 Okay, so let's start with a basic obvious fact, Canada is big. 32 00:01:39,420 --> 00:01:42,181 Yes, it is big, okay, got that. 33 00:01:42,181 --> 00:01:46,901 So in the late 1950s and early 1960s, the Canadian government began to 34 00:01:46,901 --> 00:01:50,565 realize that they wanted to be able to manage the use of land and 35 00:01:50,565 --> 00:01:53,889 resources better for economic and political reasons. 36 00:01:53,889 --> 00:01:58,181 In 1962, the government decided to map the entire country and so 37 00:01:58,181 --> 00:02:00,483 started the Canada Land Inventory. 38 00:02:00,483 --> 00:02:03,470 The plan was to create about 1,500 maps to cover the entire country. 39 00:02:03,470 --> 00:02:10,200 And Roger Tomlinson was involved in creating this Canada Land Inventory. 40 00:02:10,200 --> 00:02:15,070 And so as he was planning this and helping to direct 41 00:02:15,070 --> 00:02:19,800 how this land inventory was going to take place, he realized that there was two main 42 00:02:19,800 --> 00:02:24,040 limitations to doing things the old fashioned way with paper maps. 43 00:02:24,040 --> 00:02:27,820 So remember, the idea was that they were going to create 1500 paper maps that were 44 00:02:27,820 --> 00:02:29,990 going to be an inventory of the entire country. 45 00:02:29,990 --> 00:02:33,171 So the first thing he realized was, you can only fix so 46 00:02:33,171 --> 00:02:35,234 much descriptive data on one map. 47 00:02:35,234 --> 00:02:39,728 And by descriptive data,or if you think information, that really is going to be 48 00:02:39,728 --> 00:02:42,965 things like point symbols, lines for things like roads or 49 00:02:42,965 --> 00:02:47,413 areas that you're shading, or labels that tell people what those things are. 50 00:02:47,413 --> 00:02:48,450 And there's only so 51 00:02:48,450 --> 00:02:51,385 much of that information that can be packed into one map. 52 00:02:51,385 --> 00:02:55,430 If there's too much, if you try to get information on every single thing like 53 00:02:55,430 --> 00:02:58,108 geology and wildlife and census and farming data, 54 00:02:58,108 --> 00:03:01,923 that there's going to be too much there and it's not going to work very well. 55 00:03:01,923 --> 00:03:05,592 So that was the first limitation, is that there was a limitation to how much 56 00:03:05,592 --> 00:03:07,702 data they could pack into one map on paper. 57 00:03:07,702 --> 00:03:10,769 The second thing was that it's one thing to make a map like but 58 00:03:10,769 --> 00:03:14,020 then it's another to then interpret or analyze that map. 59 00:03:14,020 --> 00:03:17,270 So even though people are very good at seeing patterns on a map, 60 00:03:17,270 --> 00:03:21,030 it's extremely time consuming to do things like measure areas on a map or 61 00:03:21,030 --> 00:03:24,120 compare different features that might be on different maps. 62 00:03:24,120 --> 00:03:28,410 Or then try to combine all of that into some kind of complex analysis. 63 00:03:28,410 --> 00:03:32,840 So this happened to be at the time when computer development was really starting 64 00:03:32,840 --> 00:03:35,200 to take off, so you remember this was in the 60s. 65 00:03:35,200 --> 00:03:37,970 And Roger Tomlinson recognized that and wondered if there was a way that he could 66 00:03:37,970 --> 00:03:42,520 use computers to solve this mapping problem that he was having. 67 00:03:42,520 --> 00:03:45,360 So Roger Tomlinson wrote a report that described what he proposed 68 00:03:45,360 --> 00:03:47,180 as a new computer system. 69 00:03:47,180 --> 00:03:51,110 The purpose was to analyze geographic data over any part of Canada. 70 00:03:51,110 --> 00:03:55,430 To be able to input data in a variety of ways, including tracing paper maps. 71 00:03:55,430 --> 00:03:58,480 To organize the data so it would be easy and efficient to access. 72 00:03:58,480 --> 00:04:02,400 Combine and analyze data, to then of course analyze that data including 73 00:04:02,400 --> 00:04:06,397 measuring areas and creating overlays of different geographic themes. 74 00:04:06,397 --> 00:04:10,303 And then report the results of that analysis as maps and/or tables. 75 00:04:10,303 --> 00:04:13,486 So the team that he was on started by talking about this 76 00:04:13,486 --> 00:04:15,335 project as computer mapping. 77 00:04:15,335 --> 00:04:18,631 But then they realized it would be much more than that, and 78 00:04:18,631 --> 00:04:22,962 they came up with the term Canada Geographic Information System, or CGIS. 79 00:04:22,962 --> 00:04:26,023 The system continued to be developed for many years, and 80 00:04:26,023 --> 00:04:30,058 Roger Tomlinson is now recognized as the Father of GIS, quote, unquote. 81 00:04:30,058 --> 00:04:33,160 So the Canada Land Inventory lives on, 82 00:04:33,160 --> 00:04:37,581 you can still download data from that inventory today. 83 00:04:37,581 --> 00:04:42,665 So this is from the Government of Canada Website for Agricultural and Agri-Food. 84 00:04:42,665 --> 00:04:47,227 So if you want to access the data that began all those years ago, 85 00:04:47,227 --> 00:04:49,735 you still have access to it today. 86 00:04:49,735 --> 00:04:54,577 In terms of describing what a GIS is, if I meet somebody for the first time, say at 87 00:04:54,577 --> 00:04:59,708 a party or something, and inevitably the conversation somehow turns around to GIS, 88 00:04:59,708 --> 00:05:03,791 just saying, I'm often amazed how many people have heard of a GIS. 89 00:05:03,791 --> 00:05:08,769 But if they haven't, the simplest way that I can describe it is that it's 90 00:05:08,769 --> 00:05:11,270 like connecting a database to a map. 91 00:05:12,640 --> 00:05:18,160 If you have a database or a table full of values like this, in and of themselves, 92 00:05:18,160 --> 00:05:20,680 if that's all you had to work with, they're not very easy to interpret. 93 00:05:20,680 --> 00:05:22,820 If I asked you to look at this and say, 94 00:05:22,820 --> 00:05:27,280 these are things like population density in different parts of the United States. 95 00:05:27,280 --> 00:05:28,970 If I said, well, what areas have higher density and 96 00:05:28,970 --> 00:05:30,580 which areas have lower density, 97 00:05:30,580 --> 00:05:33,160 You'd have to scroll through all of these columns and look at it. 98 00:05:33,160 --> 00:05:36,654 And say, well I'm not sure what the highs values are and I'm not sure what these 99 00:05:36,654 --> 00:05:40,058 codes mean, what these IDs are, where those are, where they're located. 100 00:05:42,180 --> 00:05:47,002 But if we attach that data to a map, And 101 00:05:47,002 --> 00:05:51,976 we take one of those columns and we color code our map based on the information 102 00:05:51,976 --> 00:05:56,810 in that column, suddenly we have something that is easier to interpret. 103 00:05:56,810 --> 00:06:01,770 So what we've done here, this is known as a choropleth map, is that we have 104 00:06:01,770 --> 00:06:06,590 created a legend where we have values that are associated with different colors. 105 00:06:06,590 --> 00:06:10,440 So the higher the population density, the darker the value. 106 00:06:10,440 --> 00:06:13,346 The lighter the population density, the lower the value. 107 00:06:13,346 --> 00:06:16,390 And so you have the gradation from light to dark. 108 00:06:16,390 --> 00:06:19,819 And it's very easy, well, this is Central Park in Manhattan, so 109 00:06:19,819 --> 00:06:22,040 there's low population there of course. 110 00:06:22,040 --> 00:06:26,408 But then it's easy to see areas with high population, low population, and 111 00:06:26,408 --> 00:06:27,442 ones in between. 112 00:06:27,442 --> 00:06:32,365 So that really is the power of mapping and of a geographic information system, 113 00:06:32,365 --> 00:06:34,835 is to be able to attach data to that map. 114 00:06:34,835 --> 00:06:38,898 It really is like saying a picture is worth 1,000 words, 115 00:06:38,898 --> 00:06:44,442 as we can take not only 1,000 words, but we can take 1,000 points of data, 116 00:06:44,442 --> 00:06:49,622 or more, and turn it into a picture and make it easy for somebody to interpret. 117 00:06:49,622 --> 00:06:50,607 And that tells a story. 118 00:06:50,607 --> 00:06:54,122 That's a way of communicating information to somebody about something 119 00:06:54,122 --> 00:06:55,511 that we're interested in. 120 00:06:55,511 --> 00:06:59,921 When we are talking about what the GIS is and how to define it, 121 00:06:59,921 --> 00:07:05,214 one place to look for information about what that is on esri's website. 122 00:07:05,214 --> 00:07:07,803 And this is through resources.arcgis.com. 123 00:07:07,803 --> 00:07:11,898 And I just want to draw your attention to one part of the definition here. 124 00:07:11,898 --> 00:07:15,930 They say a geographic information system is a system used to describe and 125 00:07:15,930 --> 00:07:18,706 characterize the Earth and other geographies for 126 00:07:18,706 --> 00:07:24,050 the purpose of visualizing and analyzing spatially referenced information. 127 00:07:24,050 --> 00:07:27,250 This work is primarily performed using maps. 128 00:07:27,250 --> 00:07:30,460 The purpose of GIS is to create, share, and apply useful map-based 129 00:07:30,460 --> 00:07:34,370 information products to support the work of organizations, as well as to create and 130 00:07:34,370 --> 00:07:36,770 manage the supporting geographic information. 131 00:07:38,030 --> 00:07:41,347 So visualizing and analyzing are two key parts to a GIS. 132 00:07:41,347 --> 00:07:45,835 Think of them as making a map, visualizing and examining what's on the map, and 133 00:07:45,835 --> 00:07:50,395 what that can tell us by looking at things like locations of geographic features. 134 00:07:50,395 --> 00:07:54,983 Whether there are patterns, or clusters, or relationships with other variables, and 135 00:07:54,983 --> 00:07:57,125 that part would be the analysis. 136 00:07:57,125 --> 00:07:59,275 So what do they mean by spatially referenced? 137 00:08:00,315 --> 00:08:03,555 All that means is that we have a way of accurately positioning something 138 00:08:03,555 --> 00:08:05,145 within some kind of reference system. 139 00:08:05,145 --> 00:08:07,735 So that could be something really simple like a grid of squares. 140 00:08:07,735 --> 00:08:09,155 It could be relative to anything. 141 00:08:09,155 --> 00:08:14,152 It could be the corners of a parking lot, and where is it in relation to corners? 142 00:08:14,152 --> 00:08:16,574 For us, of course, usually it's relative to the surface of the Earth. 143 00:08:16,574 --> 00:08:19,840 And we have a whole coordinate system designed for that, 144 00:08:19,840 --> 00:08:23,388 it's based on position related to the poles and the equator. 145 00:08:23,388 --> 00:08:24,714 And we'll get into that in another segment. 146 00:08:24,714 --> 00:08:28,441 So I'm not going to go through every reading in as much detail. 147 00:08:28,441 --> 00:08:31,341 But I do think it's important that we kind of highlight these some key concepts. 148 00:08:31,341 --> 00:08:35,401 I would encourage you to read the rest of that page to kind of get yourself 149 00:08:35,401 --> 00:08:40,218 familiar with the terminology and some of the basic ideas about these definitions.14021

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.