LAB 10 - Spatial Statistics & Creating and Editing Features

Chapter 15 exercises:

 

 ex15a

ex15b

Chapter 16 exercises:

 ex16a

 ex16b

 ex16c

Using Tools:

I used the map/data from exercise 9(a).  I went to ArcToolbox, then clicked Spatial Statistics Tools and chose Measuring Geographic distributions, then I finally chose to use the Mean Center. Unfortunately It doesn't work for me. I already saved the data to my personal drive, but still unsuccessful when I tried it again.

LAB 9 - Introduction to Spatial Analysis

Chapter 11 exercises:

 

ex11a

 

ex11b

           

 ex11c

 ex11d

Chapter 12 exercises:

ex12a 

 ex12b - I'm not sure how I get rid of the numbers.

ex12c  

LAB 8 - Joins and Relates

ex09a

 ex09b

LAB 7

This is the data I have dowloaded from the http://seamless.usgs.gov/.  It is a raster data of this location in Canada.

Unfortunately, this is the only thing I could "successfully" project since I couldn't work on it at home because the program won't work in my laptop so I can only work on my labs during lab time on campus. vsl.csun.edu currently doesn't provide the program for me.

LAB 6 - Cartography

Chapter 18

ex18a

 ex18b

ex18c- I personalized this final map by changing the color of the country, the title font and the surrounding lines.  I matched the color of the font and the lines to the color of the typhoon.

Chapter 19

ex19a

ex19b

 ex19c

ex19d

 This is the final map that I personalized.  I changed the color of India and the Countries in order to make the entire thing more attractive and colorful.  I also looked for a different picture of a tiger to insert.

LAB 5 - Symbolization and Classification

                This is the map I created (and personalized) by following the directions in exercise 5a.

This is exercise ex05b 

 This is exercise ex05c that I personalized.

 This is supposed to be exercise ex05d, but there was a problem with "afhorndem" and "afhornshd". When I added both of them,  there was no message prompt in order to create pyramids for afhorndem.

 This is exercise ex06a, I personalized it by changing the color.

This is exercise ex06b

 This is exercise ex06c

 This is exercise ex06d that I personalized.

LAB 4

PART 1: More with Projections

 

Layers:

Caves(points), 

Streams(lines), and 

Lab4_Mable(Polygons). 

I opened ArcCatalog10 and went to the Y drive (Y:\) at the Catalog Tree which shows all the courses.  Under "courses_pkahn", I see the contents; Caves, Marbles and Streams.  I had to change all of their XY coordinate systems to North America Lambert Conformal Conic, then  save/copy all of those files to my own personal drive (U:\).  After successfully copying them to my drive, I open them all, or drag them all from my personal drive in ArcCatalog to ArcMap.

PART 2: Data formats

1. The types of vectors are dots/points, lines, shapes/polygon.

2. You can save these files on to your personal drive(s).  You may also export the map if you want to save the image of it by turning it into a jpeg file.

3.

4.

5. These ; .shp .shx .sbn .prj .dbf are different types of file formats. shp. is the feature geometry. shx. is  a positional index of the  geometry to access seeking forwards and backwards fast. sbn. is the spatial index. pjr.  is coordinate system and projection information. dbf. -columnar attributes for each of the shape.

6.

7.

LAB 3

                            This is my map, the program wouldn't arrange the states for me.
1.  The projection they used on exercise 13a is the Albers equal area conic projection.
2.  The most common datum seem to be the North American.
3. The largest US state in are is Alaska.
4. Looking at step 19 of exercise 13a, Texas seem to be the largest state.
5.  ? (I did the instructions step by step and it would not arrange my cities into their appropriate places/states. I repeated the exercise but still unsuccessful as you can see on the picture.)
6. One the first map, the cities were off.  The many cities were not at the right states they are supposed to be in.  For example, the city of Columbus is placed in Kentucky instead of Ohio.  The were all placed more downward. Then following step 5 of 13 b, the cities are now in their appropriate states.

LAB 2

Chapter 3 Questions

1.       An appropriate order for each data layer from top to bottom is; the points are at the very top, then the lines, then finally the polygons or the foundation.

2.       The US Cities along Earhart’s path are; Oakland (CA), Tucson (AZ), New Orleans (LA), and Miami (FL).

3.       The other five countries that Earhart flew over are; Venezuela, Brazil, Papua New Guinea, Thailand and Pakistan.

4.       The end of Earhart’s “planned” flight path is Lae, Papua New Guinea.

5.    The measurement are : Segment and Length  is 768.552744 kilometers

6.    They intended to go on to tiny Howland Island in the South Pacific, then to Hawaii and back to California.

7.    Earhart visited 28 cities during her Journey.

8.    Her shortest leg is 180.017

9.    Her longest leg of her flight is 3184.838

Chapter 4 Questions

1.The feature classes I used in exercise 4a are; cities, countries, disapp_area, and world30

2. Australia's population is 17,827,520

3. You use the raster data-set to determine the depth of the ocean. The seafloor layer.

4.
5. A data-frame is basically a frame occupying the top half of the virtual page. There is a title above the frame.  Another title will go with a data frame you are about to adjoin. 
6. The focus of the data frame is

MAPS, MAPS, MAPS! (LAB 1)

http://www.helmink.com/Antique_Map_Ortelius_Iceland/Scans/Ortelius%20Iceland%201.jpg

I got this old map (year 1587) of Iceland from the site “Antique Map and Atlases”.  The map shows various types of land formation such as rows of mountains, a volcano (seems to me) and some hills.  I don’t really see any roads, there were probably no official roads back then in the country.  I really like this map because of how antique it is. One of the things they show on this map that I’m particularly fascinated with are the grotesquely drawn/painted sea creatures that are located around the North Atlantic Ocean surrounding Iceland.  I also like how it is handmade/printed.  The kinds of data that were necessary to create this map are the number of body of water in the country.  The makers recorded the number of towns in the country.  Perhaps the number of concentrated populations around the area which establishes a town or a city. Even though aerial view may not have been present at the time (16th century), people would actually measure the space and document what was in the surrounding to create an estimated aerial visual.   

http://www.csun.edu/coe/maps/campus.html

I'm sure you are familiar with this one! This is the map of the California State University Northridge campus.  I got it from the CSUN website.  The map shows various structures/buildings like the Sierra Hall, Live Oak hall, and Jacaranda Hall. The map also shows various parking lots situated all around the campus.  The Orange Grove, one of my favorite spots on the campus, is represented by cute little circular oranges on the map. I really like this map because it helped me a lot especially when I was new to CSUN.  I believe I still carry a copy of the map in my binder.  I chose this map because I simply love our campus. The kinds of data that were necessary to create this map are the number of buildings around the campus.  It is important to know the exact shapes of the building from the aerial view in order to precisely place them on the map along with the roads/streets, etc.

http://www.alcosglobal.com/images/map.jpg

This one is the map of Quezon City, Philippines. I got this from the official website of ALCOS GLOBAL CORPORATION. The map shows the streets and as well as their names. They also highlighted the main roads with yellow. I like this map because even though I have never resided in this area before, I have a special attachment to this city because I was born in Quezon City hospital. The kinds of data that were necessary to create this map are the number of the streets in and around the Quezon City. THey probably applied classic ways of generating the map which is basically. the placements infrastructures and water ways are necessary to develop the map because most of the developments and communities are centered around these infrastructures. Aerial view would be necessary to create the last two maps because it would seem unnatural trying to recreate the streets, buildings, infrastructures based on memory or guess. Aerial view is necessary if you want to be able to document on the legends, the distance to point A to point B.

(I'm really sorry, I can't seem to find the appropriate link of my map so I just print-scrolled.)

This is the map I created using Google maps. I labeled various things such as my apartment(green), stores(yellow) and restaurants(blue). As you can see, these stores and restaurants that I regularly go to are really close to where I live (showed by the polygon).  You can also see how they are all clustered around the busy main W 3rd street.  That is one advantage living at or near the main streets, I don't have to walk many blocks to reach any local stores and restaurants. Naturally, businesses such as supermarkets and restaurants are on the main streets because of how busy and populated the area is.  You will also see the line I created starting from my apartment going to west of 3rd st.  This way goes straight to The Grove or the Beverly Centre, where I often window shop.