Here is my lab for Week 7:
The area selected is a portion of the Santa Monica Mountain range as it ends and hits the Los Angeles basin. The extent of the map is 34.339 on the top, -119.171 on the right, 34.274 on the bottom, and -119.233 on the left. The geographic coordinate system used is GCS_North_American_1983.
-Nick
Thursday, May 19, 2011
Thursday, May 12, 2011
Week 6 Lab
Here is my lab for week 6.
This map projection assignment was extremely interesting to do and I actually thoroughly enjoyed it. Looking at different maps I always wondered where they came from and how the projection was set up. Obviously before this computer technology it was a lot more difficult, but now the accessability of these projections to the public is amazing. What I also thought back to was how this technology could be tied in with something like Google My Maps. Now map projections with pictures and labels of places doesn't seem so daunting and difficult, I would even enjoy making projections on my own and printing them since I enjoy maps so much.
First set of projections are the equal area maps which seem to conform to more traditional standards of what a map looks like to us. For the cylindrical projection, as you move further from the equator, the map gets distorted so area at the poles shows up very small. So this kind of projection would definitely be best if you wanted to focus on land or area near the equator. This is in slight contrast to the mollewide equal area projection, which tends to maintain a better area projection of the poles. This map projection is also in a curved form though, which makes for a very different view already. What is most interesting is that although these maps are both equal area, they show an estimated 2,200 mile difference between the distance between Washington D.C. and Kabul. So this map projection might not be best for that, because of the great variety.
The next set of projections are the equidistant ones, with azimuthal equidistant being first. This projection I selected also is centered on the North Pole as opposed to the intersection of the Prime Meridian and Equator. As was said earlier in class, this kind of map projection would be ideal to measure distance from a center point to see range. Whether it be how far can your plane fly or how far a missile can be launched from a single point. The cylindrical equidistant too maintains equal distances between land masses, so this is very good at putting distance from two points in perspective. Yet despite their same projection, there is once again about a 2,000 mile difference for both maps between Washington D.C. and Kabul.
For the next set of projections, the conformal maps, they preserve angle between two points, but often at the cost of accuracy of size and shape of big land forms. Also, because the angle is maintained, the polar areas grow to be incredibly large and overblown in size compared to the rest of the world. The mercator conformal is ideal for navigation precisely because it maintains angles from one point to another and still can show an accurate representation of land near the equator. Stereographic conformal projection centered on the south pole, is probably the most interesting of all the projections I made. First, we hardly ever view the world from the southern pole and second, the areas of land masses become so distorted that only a section of the United States shown is larger than the entire southern hemisphere. Also the distance between Washington D.C. and Kabul is most altered, measuring at just over 30,000 miles between the two, which is most definitely not the most direct route. Once again though, a really intriguing projection.
This map projection assignment was extremely interesting to do and I actually thoroughly enjoyed it. Looking at different maps I always wondered where they came from and how the projection was set up. Obviously before this computer technology it was a lot more difficult, but now the accessability of these projections to the public is amazing. What I also thought back to was how this technology could be tied in with something like Google My Maps. Now map projections with pictures and labels of places doesn't seem so daunting and difficult, I would even enjoy making projections on my own and printing them since I enjoy maps so much.
First set of projections are the equal area maps which seem to conform to more traditional standards of what a map looks like to us. For the cylindrical projection, as you move further from the equator, the map gets distorted so area at the poles shows up very small. So this kind of projection would definitely be best if you wanted to focus on land or area near the equator. This is in slight contrast to the mollewide equal area projection, which tends to maintain a better area projection of the poles. This map projection is also in a curved form though, which makes for a very different view already. What is most interesting is that although these maps are both equal area, they show an estimated 2,200 mile difference between the distance between Washington D.C. and Kabul. So this map projection might not be best for that, because of the great variety.
The next set of projections are the equidistant ones, with azimuthal equidistant being first. This projection I selected also is centered on the North Pole as opposed to the intersection of the Prime Meridian and Equator. As was said earlier in class, this kind of map projection would be ideal to measure distance from a center point to see range. Whether it be how far can your plane fly or how far a missile can be launched from a single point. The cylindrical equidistant too maintains equal distances between land masses, so this is very good at putting distance from two points in perspective. Yet despite their same projection, there is once again about a 2,000 mile difference for both maps between Washington D.C. and Kabul.
For the next set of projections, the conformal maps, they preserve angle between two points, but often at the cost of accuracy of size and shape of big land forms. Also, because the angle is maintained, the polar areas grow to be incredibly large and overblown in size compared to the rest of the world. The mercator conformal is ideal for navigation precisely because it maintains angles from one point to another and still can show an accurate representation of land near the equator. Stereographic conformal projection centered on the south pole, is probably the most interesting of all the projections I made. First, we hardly ever view the world from the southern pole and second, the areas of land masses become so distorted that only a section of the United States shown is larger than the entire southern hemisphere. Also the distance between Washington D.C. and Kabul is most altered, measuring at just over 30,000 miles between the two, which is most definitely not the most direct route. Once again though, a really intriguing projection.
Thursday, May 5, 2011
Lab 4: GIS Intro
Below is my map image for the Lab 4
As you may notice from looking at it, this is not a completed Lab whatsoever. And as much as I would like to have a valid excuse for why this is not completed I don't have one worth writing on here. I can say this though, my experience with this program has been so difficult and convoluted that completing this project was a major problem.
We can start with the great things of this program and the benefits of ARCGIS, mainly being the ability to transpose layers on one another, add data that can be visually expressed, and organize a map in a variety of scales and land use types to really help understand a problem or solution. Already I found it absolutely fascinating that by adding in data from sources provided that it can all come together in this problem and show some remarkable images for better understanding of an issue.
With that said, this program also has many problems and flaws to it. First is that it is complicated in all the wrong areas and simplified where more detail is needed. Specifically, the userface is that of a Windows 98, which surprises me considering we are now in 2011. I would imagine there are much more user friendly ways to make such a comprehensive map. Also, as you transport to each level of mapping you can easily mess up past information without meaning to.
Another problem is that if you have to save data from one project session to another, it doesn't always save the data. Input data is lost often in the transfer which means you have to double back and refigure out where you went wrong.
Finally the method of instruction for this was based solely off of the tutorial. I can follow instructions, but to really gain insight into the program and how to make it work, there needs to be more practical teaching in Lab as a whole.
-Nick Rojas
As you may notice from looking at it, this is not a completed Lab whatsoever. And as much as I would like to have a valid excuse for why this is not completed I don't have one worth writing on here. I can say this though, my experience with this program has been so difficult and convoluted that completing this project was a major problem.
We can start with the great things of this program and the benefits of ARCGIS, mainly being the ability to transpose layers on one another, add data that can be visually expressed, and organize a map in a variety of scales and land use types to really help understand a problem or solution. Already I found it absolutely fascinating that by adding in data from sources provided that it can all come together in this problem and show some remarkable images for better understanding of an issue.
With that said, this program also has many problems and flaws to it. First is that it is complicated in all the wrong areas and simplified where more detail is needed. Specifically, the userface is that of a Windows 98, which surprises me considering we are now in 2011. I would imagine there are much more user friendly ways to make such a comprehensive map. Also, as you transport to each level of mapping you can easily mess up past information without meaning to.
Another problem is that if you have to save data from one project session to another, it doesn't always save the data. Input data is lost often in the transfer which means you have to double back and refigure out where you went wrong.
Finally the method of instruction for this was based solely off of the tutorial. I can follow instructions, but to really gain insight into the program and how to make it work, there needs to be more practical teaching in Lab as a whole.
-Nick Rojas
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