All things Location Intelligence

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Indian state to monitor floods via GIS mapping

Courtesy of Geospatial World

The Indian state of Gujarat has begun a move to study the causes of flooding in various parts of the state and project steps needed to check damage by floods. The initiative is in the form of GIS mapping of the Mahi river basin. Once the project is completed on the Mahi, it will be replicated for the Tapi, Sabarmati and Damanganga basins.

"We will re-draw the contours on the map of the Mahi basin. We are currently analyzing the spread of water when released from dams. Suppose one lakh cusecs of water is released, we must know where it will spread and to what extent will it cause flooding. Similarly, we will study the changes when larger volumes are released," said an official.

He further said that once the spread pattern is verified, the new contours will be placed on a fresh GIS map of the basin. “The exercise has been underway for the last few months and we are near completion. This is an important step towards mitigating the threat of floods. We began with Mahi because the basin is close by and comparatively easy to start with” said an official.

Officials said GIS mapping will also help civic bodies and urban planners as they can prevent expansion of cities into flood-prone areas. - See more at:

Written by Default at 15:00

GPS gadget tracks moggies

Courtesy of the Sun

A pet owner has invented a tracking device for animals — after trying to discover where his own wandering moggy kept going.

Puss in routes ... Yollo and gizmo

Clever Dave Evans, 41, fitted his ultra-light GPS gadget to Yollo’s collar when the tabby mysteriously put on weight after regularly sneaking out.

Dave uploaded the gizmo’s information when the cat returned and plotted his every move on Google Maps — discovering that the puss was chasing chickens.

The dad of two said: “My cat was getting fat even though I was feeding him less and I needed to know what was going on.

“Now I know he travels a couple of miles a day, where he goes at night and who’s feeding him. I know he also enjoys chasing chickens at 6am every morning and can see his favourite hang-outs.”

Cat graphic

Dave, of Marlborough, Wilts — who has a background in satnav marketing — has called his 15g waterproof catnav gadget “G-Paws”.

He is now putting others on sale at £50 each — to be used on both cats and dogs.

The inventor is also developing a social networking site for pet owners to accompany G-Paws, which will be available in the summer. 

Dave Evans
Cat who got the scene ... Dave Evans

He added: “It will enable users to see where their pets have been as well as share photos, videos and other information.

“For too long we have been kept in the dark about the secret lives of our pets. At last we will know what they get up to.”

Written by Default at 14:00

Uncovering Repeated Spatio-temporal Behavioral Patterns Embedded in GPS-based Taxi Tracking Data

Courtesy of GIS and Science

Yang Xu, Shih-Lung Shaw, Jiaoli Chen, Qingquan Li, Zhixiang Fang, and Yuguang Li

“Global Positioning System (GPS) based vehicle tracking data have been used to derive useful traffic data such as computing travel speed or congestion level (e.g., Herrera et al., 2010; Mohan, 2008) or measuring urban dynamics (e.g., Calabrese et al., 2011; Reades et al., 2007). Vehicle tracking data also have been used to analyze travel activities (e.g., Li et al., 2011; Liu et al., 2010). This study, on the other hand, focuses on identifying repeated spatio-temporal patterns embedded in a GPS-based taxi tracking dataset collected in Wuhan, China. Although taxi trajectories may appear to be chaotic at first glance, there could be important repeated spatio-temporal patterns embedded in taxi tracking data. For example, certain taxi drivers may have preferences of waiting for passengers at particular locations such as airports, train stations, etc. In many developing countries, it also is common to have two work shifts of drivers for one taxi. Identifying repeated spatio-temporal patterns embedded in vehicle tracking data thus can shed light on important travel and activity behavioral patterns.

Spatial distribution of repeatedly visited road segments by frequency.

Spatial distribution of repeatedly visited road segments by frequency.

“This study uses a taxi tracking dataset collected in Wuhan, China as a case study to identify repeated spatio-temporal behavioral patterns among the taxi drivers. The main objective of this study is to develop a systematic method that can facilitate uncovering repeated behavioral patterns in a large tracking dataset. This method can be adapted for studies using other types of tracking data such as cell phone tracking data of individual trajectories or online tracking data of individual web browsing histories.”

Written by Default at 09:00