Geodec: Enabling Geospatial Decision Making

Shahabi, Cyrus; Chiang, Yao‐Yi; Chung, Kelvin; Huang, Kai-chen; Khoshgozaran-Haghighi, Jeff; Knoblock, Craig A.; Lee, Sung; Neumann, Ulrich; Nevatia, Ram; Rihan, Arjun; Thakkar, Snehal; You, Suya

doi:10.1109/icme.2006.262558

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…Recently, Shahabi, et al [21] proposed the GeoDec system, which describes an environment that accurately integrates heterogeneous geospatial data sources to create a compelling, realistic and information-rich visualization of a geographic location. Specifically, their current system fuses satellite imagery, 3D models, textures and video streams, road data, raster maps, point data, as well as temporal data.…”

Section: Introductionmentioning

confidence: 99%

A Spatio-temporal Simulation Model for Movement Data Generation

Alberg

Elnekave

2008

2008 IEEE International Conference on Data Mining Workshops

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The real-world process of generating a large spatio-temporal data collection presents a very difficult technical problem. First, this process is very expensive, requiring a lot of various high-technology software tools and modern hardware infrastructure (sensors, servers, GPS infrastructure etc.) installations; second, the recorded trajectories sometimes cannot represent any special traffic or movement patterns. The simulation framework introduced in this paper can generate diverse trajectory datasets based on predetermined movement patterns.

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Section: Introductionmentioning

confidence: 99%

A Spatio-temporal Simulation Model for Movement Data Generation

Alberg

Elnekave

2008

2008 IEEE International Conference on Data Mining Workshops

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“…Rainfall distribution is a big challenge for rain-fed farming even in the regions considered to be receiving enough rainfall such as the central Kenya highlands [9] and small-scale farmers are affected more by climate variability and they may experience more negative effects if there are no appropriate mitigation measures [10]. On the other hand, availability of geospatial data has greatly improved in the last decade with many previously commercial providers availing the data for free [11]. A good deal of geospatial data and information is in use at the national level by national institutions but there is little evidence of its usage in the counties [12].…”

Section: Introductionmentioning

confidence: 99%

Kenyan Counties Geospatial Data Knowledge to Monitor Crop Production

Wahome,

Kiema,

Mulaku

2023

JGIS

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Climate change effects have had negative effects on most farmers, both small and large-scale, with weather patterns increasingly becoming unpredictable, such that farmers are unable to plan well for their farming, resulting in reduced harvests and sometimes losses for farmers. Better availability of information such as weather patterns, suitable crops, nutrient requirements based on soil types and conditions would greatly alleviate these challenges. While geospatial information is being developed and improved continuously by researchers, its accessibility and use by the counties has not been established and cannot be identified as contributing to better crop production outcomes. The aim of this study, therefore, was to assess the awareness and status of geospatial data availability and use for crop production, and the level of the relevant capacities, both human and infrastructural, in selected Counties of Kenya. A survey was conducted in the four counties of Vihiga, Kilifi, Wajir and Nyeri and key informant interviews were conducted with both management and technical County Agricultural Officers, as well as sub-county agricultural extension officers. From the results of the survey, out of the four counties, only one has adequate infrastructure in terms of hard-ware, software and connectivity to conduct useful geospatial data acquisition and processing. While most indicated awareness of the existence of geospatial data, limited resources, low skills and knowledge have restricted any meaningful sourcing of and access to data, with only 38% moderately or highly skilled in acquisition, 48% in processing and 57% in interpretation and use of geospatial data. The study concludes that moderate skills and capacities available within the counties have considerable potential to make use the available geospatial data to inform farmers accordingly and improve their farming outcomes.

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“…al. [29] proposed the GeoDec system, which describes an environment that accurately integrates heterogeneous geospatial data sources to create a compelling, realistic and information-rich visualization of a geographic location. Specifically, their current system fuses satellite imagery, 3D models, textures and video streams, road data, raster maps, point data, as well as temporal data.…”

Section: Introductionmentioning

confidence: 99%