Description: Objective: The main objective in mapping these dumpsters as point data is to show the exact locations of every dumpster on the campus of Montana State University. These locations include points on the football field and athletic facilities, the main campus, academic buildings, the dorm areas, the dining halls, student housing, sports fields, parking lots, and other buildings associated with MSU such as the police department and the Plew Building. It is important to note that the MSU farms a few miles off campus were not mapped in this project. This data is important because it can help the waste management team identify locations of all dumpsters on their routes. With turnover in waste management staff, there were a few dumpsters getting left behind on campus; hopefully this map can help mitigate that issue. This data can also help anyone on campus find the nearest dumpster if they need to throw away trash. Dumpsters move around each time they are picked up and emptied by garbage trucks, so these locations may vary a bit based on this. However, they should not ever move more than a few meters from the location in which they were mapped. It is also important to consider that some of these dumpsters may be temporary, mostly those in and around the football field. Since this data was mapped during football season, there is likely an abundance of dumpsters in that area to account for high traffic, but this may change after the season ends.Equipment: To map the dumpsters, I used an Emlid RS2 Multi GNSS Receiver along with a 2 meter pole. I also used a tablet with Arc Field Maps installed on it to actually record the data. Mapping Techniques: To map these dumpster points, I used an average positions techniques where I stabilized the GPS on the pole for five seconds at each dumpster location. I recorded the location of each of these dumpsters right upon the front end of each dumpster; however, I also gathered offset distances and azimuth angles for each dumpster in case I want to represent this data at the center of each dumpster since I did not physically get in the dumpster to record its central position. Since the dumpsters shift each time they are picked up, I determined it was not necessary to offset each of the points just to map the center of where the dumpster was when I mapped it because these points will be constantly changing so exact precision like this is not needed.Base Station: The base station that would've been used for differential correction was the MTSU CORS Station located on the campus of Montana State University. Since ArcGIS Field Maps was used instead of Emlid Flow in this project, differential correction did not need to be performed.Editing: During topological analysis, it was ensured that all dumpster points were within the polygons of the dumpster pads and did not intersect with any dumpster enclosure lines. As stated before, offset azimuths and distances were measured for each dumpster point, however, the points were not moved during the editing process since the dumpsters move around each time they are emptied. Therefore, the exact center of each dumpster was not necessary to map, so each of the points represent the front sides of each dumpster on the sides where they open up.Estimated Accuracy: The estimated horizontal accuracy from this layer is 0.22 meters with a range from 0.11 - 2.39 meters all with 68% confidence. The overall data accuracy for this project is as follows: 0% in the 0 - 5 cm range, 32.02% in the 5 - 15 cm range, 43.86% in the 15 - 30 cm range, 16.23% in the 30 - 50 cm range, 5.26% in the 0.5 - 1 m range, 2.19% in the 1 - 2 m range, 0.44% in the 2 - 5 m range, and 0% in the >5 m range.Spatial Reference Information: The Geographic Coordinate System of WGS 1984 was used to map this data. This corresponds to the datum of D WGS 1984 that was used for the data. The projection of the data itself is in the WGS 1984 Web Mercator (auxiliary sphere) projected coordinate system.Fields: There are multiple fields for the dumpster points: Enclosure_Status, Ranking, Offset_Az, Offset_Dist, and Notes. The Enclosure_Status field has domains of Yes or No. If the dumpster had any sort of walls that enclosed it, whether that be a full enclosure or just partial, it was marked as "Yes" and if it did not it was marked as "No". The Ranking field has five domains: Excellent, Good, Acceptable, Poor, and Terrible. Each of these domains describes the condition of each of the dumpsters, with Excellent being the highest ranking and terrible being the lowest. To help with this ranking, there is a picture of each dumpster that is attached to every point. The Offset_Az and Offset_Dist fields have open domains where any integer can be entered to represent the angle from where I measured the dumpster to its center and the distance between where I measured each dumpster to the center of each dumpster. The Notes field has an open text domain and in that field, there are some instances that I ran into while mapping these dumpsters. Some of these include dumpsters not having a distinguishable dumpster pad, dumpsters possibly being temporary, or dumpsters being partially on one ground material and partially on another.
Copyright Text: Name: Madeline Minutelli
Contact Information: z81n964@msu.montana.edu
Other Parties Involved: MSU Planning Department
Description: Objective: The main objective of mapping the enclosures as lines is to identify which dumpsters have walls that enclose them and which do not. Many of the enclosures were not full enclosures, meaning the walls around the dumpster did not fully close it into a space. With this being said, any walls around dumpsters were counted as enclosures. With this information, it is easy to analyze which dumpsters do not currently have enclosures but could maybe use some. Noting the presence of enclosures can also help waste management teams think about how they want to approach the dumpster while driving a garbage truck up to each one.Equipment: To map the enclosures, I used an Emlid RS2 Multi GNSS Receiver along with a 2 meter pole. I also used a tablet with Arc Field Maps installed on it to actually record the data. Mapping Techniques: To map these enclosures, I used two techniques: streaming and averaging the vertices and then connecting them. The streaming method was used for dumpsters whose enclosures were easy to walk around with no obstacles in the way. While streaming, the device measured points every 1 meter that was walked and then turned all these points into a line after the GPS was stopped. The averaged vertices technique was used for dumpsters whose enclosures were not easy to walk around due to people or things in the way. This technique involved averaging for five seconds at each point of the enclosure, then connecting the dots together to represent the enclosure.Base Station: The base station that would've been used for differential correction was the MTSU CORS Station located on the campus of Montana State University. Since ArcGIS Field Maps was used instead of Emlid Flow in this project, differential correction did not need to be performed.Editing: During editing, the topology of these enclosures was validated to make sure there were no dangling nodes and to ensure that none of the lines crossed over themselves. Due to the length of each of the enclosures, which were only a couple of meters long, there were not a ton of topological errors identified in the editing process.Estimated Accuracy: The estimated horizontal accuracy from this layer is 0.29 meters with a range from 0.16 - 0.67 meters all with 68% confidence. The overall data accuracy for this project is as follows: 0% in the 0 - 5 cm range, 32.02% in the 5 - 15 cm range, 43.86% in the 15 - 30 cm range, 16.23% in the 30 - 50 cm range, 5.26% in the 0.5 - 1 m range, 2.19% in the 1 - 2 m range, 0.44% in the 2 - 5 m range, and 0% in the >5 m range.Spatial Reference Information: The Geographic Coordinate System of WGS 1984 was used to map this data. This corresponds to the datum of D WGS 1984 that was used for the data. The projection of the data itself is in the WGS 1984 Web Mercator (auxiliary sphere) projected coordinate system.Fields: There were two fields in the enclosure data: Enclosure_Description and Notes. The Enclosure__Description field had an open domain that allowed text to be written in to describe how that particular dumpster was enclosed. This allowed the type of enclosure to be noted, most of these domains were written as partial or full enclosures, however, some enclosures were split up from one another which was noted in this field. The Notes field allowed documentation of anything necessary in the field to know about the enclosure. This domain was also an open text domain and only noted when enclosures had inaccessible ends or if there was a bit of a discrepancy between the enclosure and line feature due to alarm sensors.
Copyright Text: Name: Madeline Minutelli
Contact Information: z81n964@msu.montana.edu
Other Parties Involved: MSU Planning Department
Description: Objective: The main objective in mapping the dumpster pads as polygons was to document any space around the dumpsters that are meant to fully contain the dumpsters. This is significant because if the garbage truck decided to move the dumpster after it drops it back off, the dumpster itself may slightly move in location, but it would still have to be placed back in the vicinity of the dumpster pad. So, while the dumpster point can shift, the dumpster pad area is constant and will always remain in the same location.Equipment: To map the dumpster pads, I used an Emlid RS2 Multi GNSS Receiver along with a 2 meter pole. I also used a tablet with Arc Field Maps installed on it to actually record the data. Mapping Techniques: The averaged vertices method was used to map most of the dumpster pads. In this method, a point was averaged at each of the corners of the dumpster pads and then a polygon was drawn connecting all the averaged points. For a few of the dumpster pads, a streaming technique was used. This streaming technique took a point measurement every 1 meter and then connected all the points together as a polygon. The streaming technique was used for dumpster pads that were not very rectangular in shape.Base Station: The base station that would've been used for differential correction was the MTSU CORS Station located on the campus of Montana State University. Since ArcGIS Field Maps was used instead of Emlid Flow in this project, differential correction did not need to be performed.Editing: Topological analysis was done on the dumpster pads to make sure all the dumpster points were contained within the boundaries of the polygons of the dumpster pads. Aside from that, during the editing process it was also ensured that all dumpster pads were properly connected if the average vertices technique was used, and there was a check to make sure none of the streamed lines overlapped one another for each of the polygons representing dumpster pads.Estimated Accuracy: The estimated horizontal accuracy from the Dumpster Pad layer specifically is 0.33 meters with a range from 0.12 - 1.39 meters all with 68% confidence. The overall data accuracy for this project is as follows: 0% in the 0 - 5 cm range, 32.02% in the 5 - 15 cm range, 43.86% in the 15 - 30 cm range, 16.23% in the 30 - 50 cm range, 5.26% in the 0.5 - 1 m range, 2.19% in the 1 - 2 m range, 0.44% in the 2 - 5 m range, and 0% in the >5 m range.Spatial Reference Information: The Geographic Coordinate System of WGS 1984 was used to map this data. This corresponds to the datum of D WGS 1984 that was used for the data. The projection of the data itself is in the WGS 1984 Web Mercator (auxiliary sphere) projected coordinate system.Fields: The Dumpster Pads feature has two descriptive fields: Ground_Material and Notes. The Ground_Material field indicates the type of material the dumpster pad is made of. It includes domains of: gravel, asphalt, concrete, dirt, and grass. The other field, Notes, was used to describe any abnormalities relating to the dumpster pads and their locations. It includes notable observations such as one of the dumpster pads having alarm sensors that limited the accessibility around it.
Copyright Text: Name: Madeline Minutelli
Contact Information: z81n964@msu.montana.edu
Other Parties Involved: MSU Planning Department
Description: This vector line data shows roads in Gallatin county. This layer provides information on road name, road type, calculated address ranges (FRADDL, TOADDL, FRADDR, TOADDR), condition of road, community and who maintains the road. The projected coordinate system is NAD 1983 UTM Zone 12N and the Geographic coordinate system is NAD 1983.