scholarly journals Analysis and visualization of animal movement

2011 ◽  
Vol 8 (1) ◽  
pp. 6-9 ◽  
Author(s):  
Judy Shamoun-Baranes ◽  
E. Emiel van Loon ◽  
Ross S. Purves ◽  
Bettina Speckmann ◽  
Daniel Weiskopf ◽  
...  
Keyword(s):  
Moving Objects ◽  
Information Science ◽  
Animal Movement ◽  
Geographical Information ◽  
Gps Tracking ◽  
Research Groups ◽  
Marine Reptiles ◽  
Larus Fuscus ◽  
Cross Fertilization ◽  
Initial Focus

The interdisciplinary workshop ‘ Analysis and Visualization of Moving Objects ’ was held at the Lorentz Centre in Leiden, The Netherlands, from 27 June to 1 July 2011. It brought together international specialists from ecology, computer science and geographical information science actively involved in the exploration, visualization and analysis of moving objects, such as marine reptiles, mammals, birds, storms, ships, cars and pedestrians. The aim was to share expertise, methodologies, data and common questions between different fields, and to work towards making significant advances in movement research. A data challenge based on GPS tracking of lesser black-backed gulls ( Larus fuscus ) was used to stimulate initial discussions, cross-fertilization between research groups and to serve as an initial focus for activities during the workshop.

scholarly journals Semantics of Voids within Data: Ignorance-Aware Machine Learning

2021 ◽  
Vol 10 (4) ◽  
pp. 246
Author(s):  
Vagan Terziyan ◽  
Anton Nikulin
Keyword(s):  
Spatial Data ◽  
Information Science ◽  
Nearest Neighbor ◽  
Geographical Information ◽  
Two Dimensional ◽  
Prototype Selection ◽  
Data Space ◽  
Important Concern ◽  
Traditional Classification ◽  
Nearest Neighbor Classifiers

Operating with ignorance is an important concern of geographical information science when the objective is to discover knowledge from the imperfect spatial data. Data mining (driven by knowledge discovery tools) is about processing available (observed, known, and understood) samples of data aiming to build a model (e.g., a classifier) to handle data samples that are not yet observed, known, or understood. These tools traditionally take semantically labeled samples of the available data (known facts) as an input for learning. We want to challenge the indispensability of this approach, and we suggest considering the things the other way around. What if the task would be as follows: how to build a model based on the semantics of our ignorance, i.e., by processing the shape of “voids” within the available data space? Can we improve traditional classification by also modeling the ignorance? In this paper, we provide some algorithms for the discovery and visualization of the ignorance zones in two-dimensional data spaces and design two ignorance-aware smart prototype selection techniques (incremental and adversarial) to improve the performance of the nearest neighbor classifiers. We present experiments with artificial and real datasets to test the concept of the usefulness of ignorance semantics discovery.

Geographical Information Science and Maps

Cartography ◽  
2020 ◽  
pp. 1-21
Author(s):  
Menno-Jan Kraak ◽  
Ferjan Ormeling
Keyword(s):  
Information Science ◽  
Geographical Information

scholarly journals EXPRESSION AND ORGANIZATION OF GEOGRAPHIC SPATIAL RELATIONS BASED ON TOPIC MAPS

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 1257-1261
Author(s):  
H. J. Liang ◽  
H. Wang ◽  
T. J. Cui ◽  
J. F. Guo
Keyword(s):  
Information Science ◽  
Spatial Database ◽  
Spatial Relation ◽  
Spatial Relations ◽  
Geographical Information ◽  
Knowledge Network ◽  
Effective Management ◽  
Topic Maps ◽  
Complex Knowledge ◽  
Topic Map

Spatial Relation is one of the important components of Geographical Information Science and Spatial Database. There have been lots of researches on Spatial Relation and many different spatial relations have been proposed. The relationships among these spatial relations such as hierarchy and so on are complex and this brings some difficulties to the applications and teaching of these spatial relations. This paper summaries some common spatial relations, extracts the topic types, association types, resource types of these spatial relations using the technology of Topic Maps, and builds many different relationships among these spatial relations. Finally, this paper utilizes Java and Ontopia to build a topic map among these common spatial relations, forms a complex knowledge network of spatial relations, and realizes the effective management and retrieval of spatial relations.

SPATIAL TECHNOLOGIES IN PASTURE AND RANGE MANAGEMENT: A REVIEW

2021 ◽  
Vol 19 (1) ◽  
pp. 168-185
Author(s):  
J.A. OYEDEPO ◽  
O.S. ONIFADE
Keyword(s):  
Remote Sensing ◽  
Information Science ◽  
Vegetation Indices ◽  
Rangeland Management ◽  
Geographical Information ◽  
Specific Reference ◽  
Range Management ◽  
Grazing Land ◽  
Hyper Spectral ◽  
Complex Models

This paper looked at practical ways in which pasture and range management (P&RM) can benefit from application of spatial technologies; namely Satellite Remote Sensing, Global Positioning System and Geographical Information Science. Brief mention of these spatial technologies’ components and ways of their integrations (linear, interactive, hierarchical and complex models) were discussed with specific reference to P&RM. The paper also dwells on salient principles of applied remote sensing and geospatial technics in P&RM using examples and case studies revolving around rangeland management, spatial decision support and resource conservation. Specifically, the relevance of hyper spectral imageries and vegetation indices in cattle population and range roaming determination, grazing land and paddock site-specific management were demonstrated. It is hoped that the review will create awareness for the inclusion and use of remote sensing and geospatial technics in many areas of livestock management in Nigeria.      

Spatial and Spatiotemporal Data Types as a Foundation for Representing Space-Time Data in GIS

2017 ◽  
pp. 1-28 ◽  
Author(s):  
Markus Schneider
Keyword(s):  
Spatial Data ◽  
Geographical Information Systems ◽  
Moving Objects ◽  
Spatial Databases ◽  
Query Languages ◽  
Geographical Information ◽  
Spatiotemporal Data ◽  
Data Types ◽  
Time Data ◽  
Use Of Data

A data type comprises a set of homogeneous values together with a collection of operations defined on them. This chapter emphasizes the importance of crisp spatial data types, fuzzy spatial data types, and spatiotemporal data types for representing static, vague, and time-varying geometries in Geographical Information Systems (GIS). These data types provide a fundamental abstraction for modeling the geometric structure of crisp spatial, fuzzy spatial, and moving objects in space and time as well as their relationships, properties, and operations. The goal of this chapter is to provide an overview and description of these data types and their operations that have been proposed in research and can be found in GIS, spatial databases, moving objects databases, and other spatial software tools. The use of data types, operations, and predicates will be illustrated by their embedding into query languages.

scholarly journals Using Google Earth™ and Geographical Information System data as method to delineate sample domains for an urban household surveys: the case of Maroua (Far North Region-Cameroon)

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Ronald R. B. Ngom Vougat ◽  
Steven Chouto ◽  
Sylvain Aoudou Doua ◽  
Rebecca Garabed ◽  
André Zoli Pagnah ◽  
...  
Keyword(s):  
Low Cost ◽  
Cost Effective ◽  
Google Earth ◽  
Geographical Information ◽  
Gps Tracking ◽  
Low Incomes ◽  
Global Positioning ◽  
System Data ◽  
The One ◽  
Time Required

Abstract Background Getting a random household sample during a survey can be expensive and very difficult especially in urban area and non-specialist. This study aimed to test an alternative method using freely available aerial imagery. Methods A gridded map and random selection method was used to select households for interviews. A hundred numbered of points were put along the edges of an updated map of Maroua. Then two numbers were randomly draw at a time and a line was drawn between those two numbers. A lot of different kinds of shapes of different sizes obtained were numbered. Ten shapes were randomly draw and the one selected were considered as ‘neighbourhoods’. A grid of 30 m × 30 m was drawn over each and then numbered. 202 grids considered here as households were randomly selected from the ten neighbourhoods for interviews. Results Out of 202 households visited, only 4 were found to be something other than a house. In addition, 30 sampled households (14.85%) were abandoned or the occupants had relocated elsewhere. This method resulted in an accuracy level of 72%, its advantage is the ability to generate efficient random sample at relatively low cost as well the time required. Conclusions The method proposed in this study was efficient and cost-effective when compared to the infield generation of a household inventory or Global Positioning System (GPS) tracking of households. It can then be used by researchers in low-incomes countries where funding for research is a challenge. However, this method needs to train the investigators on how to use the GPS.

The Development Process and Prospects of Mine Surveying in China

2011 ◽  
Vol 71-78 ◽  
pp. 1311-1317 ◽  
Author(s):  
Gang Wang ◽  
Guang Li Guo ◽  
Jian Feng Zha ◽  
Bing Fang Liu
Keyword(s):  
Remote Sensing ◽  
Development Process ◽  
Information Science ◽  
Rapid Development ◽  
Geographical Information ◽  
Mine Safety ◽  
Transit Times ◽  
Basic Work ◽  
Safety Production ◽  
Mine Surveying

Mine surveying is an important part and infrastructure protection of mine production and mine construction, and it is also very important basic work of coal mine safety production. This article summarized the development process of China's mine surveying for 60 years, the development process of China's mine surveying was from Transit Times which angling and distancing separately to Electronic Total Time which angling and distancing combo. Today, China's mine surveying has developed into an information science which combines with measurement and optoelectronic technology, computer technology, global positioning system (GPS), geographical information system (GIS) , remote sensing (RS) , D-InSAR and Unmanned Aerial Vehicle Remote Sensing with the rapid development of science and technology. This paper also analyzed the development status, opportunities and challenges-digital of China's mine surveying , and pointed out its development direction and what measures should be taken.

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