By Robert B. McMaster, E. Lynn Usery
A detailed dating exists among GIS and diverse purposes, together with cartography, photogrammetry, geodesy, surveying, laptop and data technological know-how, and information, between others. Scientists coined the time period "geographic details technology (GIScience)" to explain the speculation at the back of those fields. A study schedule for Geographic details technological know-how broadly information the problems and basic medical difficulties that needs to be solved if using GIS in those and different fields is to advance.
Immediately following the founding of the college Consortium for Geographic info technology (UCGIS), the gang pointed out in a learn time table the subjects that represented significant demanding situations to the GIS study neighborhood. the 1st bankruptcy of this publication supplies an advent to the schedule and to the collective assistance that the schedule offers to researchers.
Chapters 2-10 talk about 9 unique examine demanding situations. Chapters 11-14 give you the foundation of the agenda's 4 "Emerging Themes." every one bankruptcy, written via researchers inquisitive about the perception of the themes, discusses simple learn components, the UCGIS technique, the necessity for the nationwide examine schedule, contributions to wisdom and society, and provides an entire set of references.
The ultimate part attracts common conclusions concerning the UCGIS strategy and the outlined examine demanding situations.
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Additional info for A Research Agenda for Geographic Information Science
Effective representation of the total yield across the field as a raster image of varying cell sizes or appropriate interpolation to a fixed grid is an important research question. Additional research is needed to determine how best to use these yield data in conjunction with infield sampling and with variable rate application equipment which are driven by digital maps to allow site specific management of farms. The potential benefits are 1) a reduction in the volume of agrochemicals applied, thereby reducing the degradation to the environment, and 2) the application of the chemicals where they are needed most and in the correct amounts thereby increasing crop yields.
6). All the sensors mentioned have temporal resolutions of < 55 days so the temporal resolution of the land use/land cover attributes is satisfied by the current and proposed sensor systems. Additional research is required to automatically extract landuse/cover information from the high spatial resolution (< 1 x 1 m) panchromatic remote sensor data. This will require new approaches including 1) the use of neural networks (Jensen and Qiu, 1998; Qui and Jensen, 2004), 2) inductive logic decision-tree algorithms that make use of machine learning (Huang and Jensen, 1997), and 3) classification algorithms that take into account spatial and spectral characteristics such as object-oriented image segmentation algorithms (Benz, 2001).
The Vegetation Classification Standard) recognize that remote sensor data calibrated with in situ observation are the only way to collect much of the data that must populate the database. 2 Spatial Data Themes of FGDC Subcommittees (FGDC, 2004) Data Theme/Subcommittee Basic cartographic Cadastral Cultural and demographic Federal Geodetic Control Geologic Ground transportation Marine and Coastal Spatial Data Spatial Climate Spatial Water Data Soils Vegetation Wetlands Agency Chairing Subcommittee Dept.
A Research Agenda for Geographic Information Science by Robert B. McMaster, E. Lynn Usery