4 pp. / (Make My Map in Google (Part 1: Overview, Part 2: Detailed) GPS Watches for Measuring Energy Expenditure during Physical Activity / Maps are a valuable tool among professionals including engineers, environmental specialists, and city developers. Online mapping using GPS has gained popularity in vehicles and cell phones. Recently, online mapping can be used to create your own map (Google My Map) by adding personal photos, related website links, and collaborating with others. Online mapping has now become useful and fun for all ages in a variety of settings. The fact sheets provide a basic (Part 1: Overview) and detailed (Part 2: Detailed) how-to guide to Make a Map in Google [My Maps] using a GPS receiver or GPS watch, as well as enhancing those maps into a poster. We also included interesting facts and useful tips for readers. This article can be used as a guide to encourage youth to map their favorite places, as well as share these places with other youth, friends, family, community groups and organizations.

4 pp. / "(Make My Map in Google (Part 1: Overview, Part 2: Detailed) GPS Watches for Measuring Energy Expenditure during Physical Activity" / Maps are a valuable tool among professionals including engineers, environmental specialists, and city developers. Online mapping using GPS has gained popularity in vehicles and cell phones. Recently, online mapping can be used to create your own map (Google My Map) by adding personal photos, related website links, and collaborating with others. Online mapping has now become useful and fun for all ages in a variety of settings. The fact sheets provide a basic (Part 1: Overview) and detailed (Part 2: Detailed) how-to guide to Make a Map in Google [My Maps] using a GPS receiver or GPS watch, as well as enhancing those maps into a poster. We also included interesting facts and useful tips for readers. This article can be used as a guide to encourage youth to map their favorite places, as well as share these places with other youth, friends, family, community groups and organizations.

The 711-acre Mueller development is located just three miles northeast of downtown on the former site of the Robert Mueller Municipal Airport. Planned as one of Austin’s major transit-oriented New Urbanist developments, Mueller contains a pattern of pedestrian and bike friendly streets to encourage a range of transportation options for residents and visitors. Mueller is 30% complete and provides housing and jobs to over 3000 residents and 3000 employees. This professional report seeks to understand how current residents, employees, and visitors use the bike lanes, sidewalks, and roads in the Mueller community. To evaluate the transportation infrastructure, the author designed and coded a custom Google Maps survey that asked residents to draw common routes, points of interest, and points of concern related to their transportation choices. Field observations were conducted to verify and triangulate the information reported in the online survey. This study investigates whether the transportation principles for the development are or are not achieved by comparing the expressed principles of the development with the actual behavior reported and exhibited by frequent users. / text

abstract: Choropleth maps are a common form of online cartographic visualization. They reveal patterns in spatial distributions of a variable by associating colors with data values measured at areal units. Although this capability of pattern revelation has popularized the use of choropleth maps, existing methods for their online delivery are limited in supporting dynamic map generation from large areal data. This limitation has become increasingly problematic in online choropleth mapping as access to small area statistics, such as high-resolution census data and real-time aggregates of geospatial data streams, has never been easier due to advances in geospatial web technologies. The current literature shows that the challenge of large areal data can be mitigated through tiled maps where pre-processed map data are hierarchically partitioned into tiny rectangular images or map chunks for efficient data transmission. Various approaches have emerged lately to enable this tile-based choropleth mapping, yet little empirical evidence exists on their ability to handle spatial data with large numbers of areal units, thus complicating technical decision making in the development of online choropleth mapping applications. To fill this knowledge gap, this dissertation study conducts a scalability evaluation of three tile-based methods discussed in the literature: raster, scalable vector graphics (SVG), and HTML5 Canvas. For the evaluation, the study develops two test applications, generates map tiles from five different boundaries of the United States, and measures the response times of the applications under multiple test operations. While specific to the experimental setups of the study, the evaluation results show that the raster method scales better across various types of user interaction than the other methods. Empirical evidence also points to the superior scalability of Canvas to SVG in dynamic rendering of vector tiles, but not necessarily for partial updates of the tiles. These findings indicate that the raster method is better suited for dynamic choropleth rendering from large areal data, while Canvas would be more suitable than SVG when such rendering frequently involves complete updates of vector shapes. / Dissertation/Thesis / Ph.D. Geography 2013