Thursday, May 24, 2012

Lab 6





Extent information:
 GCS North American 1983
Top: 38.3530555549
Left: -119.644444446
Right: -119.070277779
Bottom:  38.0372222216        

          The area in the maps above is a portion of the Sierra Nevada mountain range in California. I chose this area because there are many peaks and a valley area, which demonstrates the digital elevation models in ArcGIS nicely. The varied elevation can be seen seen in the 3d model. I was also surprised at how steep some of the peaks are in the 3d model.

Thursday, May 17, 2012

Lab 5







          For Lab 5 we compared three different types of map projections and within each type we compared two different map projections. We used conformal, equal area, and equidistant projections. Conformal projections preserve the angles describing the spatial relationship, equal area projections preserve the area of the displayed feature, and equidistant projections preserve the distance between certain points on a map. In order to preserve these specific attributes, other properties are distorted, such as scale, shape, or angle. Each map projection has its own advantages and disadvantages, and certain projections are more accurate than others depending on where in the world and what type of data is being analyzed.
          In the first set of projections, right angles in the graticule lines are preserved. Although the local shapes are accurate in the stereographic projection, it is most accurate at the center, with increasing distortion with distance. For better accuracy, it should also generally be limited to one hemisphere. The Mercator projection, one of the most commonly seen projections, is useful because it represents the world as a flat rectangle, which is nice for illustrative purposes; however, in doing so it is highly distorted. The area is especially affected, for example, it depicts the United States as nearly the size of Africa; however, the United States is actually much smaller than Africa.
        The second set, the equal area projections, preserve the area of the features, but distorts the shape, among other properties. Looking at the Eckert IV projection can give a better representation of the sizes of the United States and Africa, compared to the Mercator projection. The Eckert projection stretches the shape towards the equator, while compressing it vertically towards the poles. Although it preserves area, it distorts mostly everything else, making it mostly useful as a world map, like the Mercator projection. In the Sinusoidal projection, there is no distortion along the equator and central meridian, but there is elsewhere. The shapes are heavily distorted towards the edges, especially the western Americas and eastern Europe and Asia. Like most projections, it is best to use on a single area rather than the whole world.
          In the Equidistant Conic projection, distance is true along standard parallels and the meridians. It is most accurate east to west among midlatitude areas. For this reason, it is a good choice for mapping the distance between Washington, D.C. and Kabul, Afghanistan, and measured it at 6,972.48 miles, while the actual distance is 6,956.6 miles; just over 20 miles off. Similarly, the Two Point equidistant projection is much closer than either of the equal area or conformal projections. This lab demonstrates the importance of choosing the best projection for the type of analysis one is doing, as different projections preserve certain properties, but to do so distort others. The conformal projections distorted nearly all properties, and were both over 3,000 miles off, while the equidistant were very close, and the equal area were between both.





Thursday, May 10, 2012

Lab 4

          
          For this week's lab, we followed a tutorial on the basics of using ArcMap in ArcGIS. We created a document with multiple layers and many types of data about a proposed road expansion in an airport. We also included data on population density and land use within the noise contour of the airport. Although the tutorial was detailed and straight-forward, since it was my first time using ArcGIS, I still found it somewhat confusing. It has a complicated user interface, which I found challenging to use; however, it is also what makes the program capable of so much.
          I ran into a few problems while doing the tutorial. First, the multiple different toolbars were somewhat confusing, because they had icons that looked the same, but had different functions. For example, in the layout and standard toolbars, there are both tools to zoom in and out as well as pan, but they work in slightly different ways. I am still unsure of exactly how they work. One of them zooms in on the whole document, while one zooms in only on the map, but keeps the data frame the same size. This led to confusion and accidentally messing up the view I had, which led to another problem. You cannot undo panning/zooming changes, something I found after trying to hit undo to get back to my original view. Undo seemed to only affect changes I made to the data/maps. It would be useful if there was an undo panning/zoom button because it is difficult to get the map back to exactly where you need it to be, and probably will have to tweak the location of the legend and scale line to make the map look nice again. One last problem I ran into was while exporting the file as an image. Even after trying to export it in multiple different file formats, one data frame remains in greyscale while the rest of the document is in color, as can be seen above.
          Despite these minor hindrances I ran into, it is clear that ArcGIS is a powerful program that is capable of a lot. This was only an introduction to some of its capabilities and functions, but it is a powerful tool that is able to be used for many things. Besides the direct application in fields like urban planning and construction, one of its most useful features is to analyze and synthesize data sets and compile them into one map. Given the huge amount of data available, such as census data, environmental data, or any other kind, the possibilities are nearly endless for what ArcGIS is capable of doing.
          Although the lab was time consuming and slightly complicated, I found it rewarding and fun to create and edit maps using ArcGIS. Because I only know some of what ArcMap is capable of, I am not sure what other kinds of shortcomings it may have. One thing is that it seemed to only have one view - a flat projected view. Depending on the type of maps being used, it would be useful to be able to change into a 3D isometric view. Overall, it is a very useful program, although somewhat complicated to use at first.












Friday, April 13, 2012

Lab 2

1. Beverly Hills Quadrangle

2. Canoga Park, Van Nuys, Burbank, Topanga, Hollywood, (Pacific Ocean), Venice, Inglewood

3. 1995

4. North American Datum of 1927 and 1983

5. 1:24,000

6. a) 1,200 m
b) 1.894 mi
c) 2.64 in
d) 12.5 cm

7. 20 ft

8. a) 34°04'20" N
118°26'30" W
34.072 N°
-118.442 E°
b) 34°00'30" N
118°30'00" W
34.008° N
-118.5° E
c) 34°7'00" N
118°24'40" W
34.117° N
-118.411 E

9. a) 560 ft; 170.688 m
b) 140 ft; 42.672 m
c) 800 ft; 243.84 m

10. UTM Zone 11

11. 3,763,000 m N
361,500 m E

12. 1,000,000 m^2

13.


14. 14°

15. South

16.