Enhancing access for natural resource professionals to geographic information systems: an example application

1994 ◽  
Vol 70 (1) ◽  
pp. 75-79 ◽  
Author(s):  
Charles R. Blinn ◽  
David J. Martodam ◽  
LLoyd P. Queen
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Natural Resource ◽  
Forest Inventory ◽  
Spatial Databases ◽  
Geographic Information ◽  
Attribute Data ◽  
Stand Attributes ◽  
Management Conflicts ◽  
User Review

Geographic information systems (GIS) provide natural resource professionals with unparalleled capabilities for analyzing their spatial databases. However, most natural resource professionals will not become proficient in the use of GIS because this tool has a large amount of technical overhead. The Phase II EPPL Shell macro described in this paper was developed so that field-level forest and wildlife managers within the Minnesota Department of Natural Resources could enhance access to and spatially analyze their forest inventory database. The macro was developed through a strategic, interactive process of defining user needs, designing a product, implementation, and product enhancement based on user review. The tool allows simple queries of stand attribute data, simplifies the generation of customized maps of selected stands and stand attributes, outputs tabular reports, and provides access to analysis tools such as buffer commands. The EPPL Shell macro is currently being used by field managers to better resolve forest land management conflicts caused by increasing demands on the forest resource. Key words: geographic information systems, macro, forest inventory, system design

A Survey of Spatial Data Mining Methods Databases and Statistics Point of Views

2011 ◽  
pp. 229-242 ◽  
Author(s):  
Karine Zeitouni
Keyword(s):  
Data Mining ◽  
Information Systems ◽  
Spatial Analysis ◽  
Geographic Information Systems ◽  
Spatial Statistics ◽  
Spatial Data ◽  
Spatial Databases ◽  
Spatial Data Mining ◽  
Geographic Information ◽  
Mining Methods

This chapter reviews the data mining methods that are combined with Geographic Information Systems (GIS) for carrying out spatial analysis of geographic data. We will first look at data mining functions as applied to such data and then highlight their specificity compared with their application to classical data. We will go on to describe the research that is currently going on in this area, pointing out that there are two approaches: the first comes from learning on spatial databases, while the second is based on spatial statistics. We will conclude by discussing the main differences between these two approaches and the elements they have in common.

scholarly journals Integrating Drones into a Natural-Resource Curriculum at Stephen F. Austin State University

2019 ◽  
Vol 117 (4) ◽  
pp. 398-405
Author(s):  
Daniel R Unger ◽  
David L Kulhavy ◽  
I-Kuai Hung ◽  
Yanli Zhang ◽  
Pat Stephens Williams
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Natural Resource ◽  
Geographic Information ◽  
Academic Experience ◽  
State University ◽  
Decisionmaking Process

AbstractFaculty within the Arthur Temple College of Forestry and Agriculture (ATCOFA) at Stephen F. Austin State University in Nacogdoches, Texas are integrating drone technology into their curriculum to introduce students to the use of high-end technology within a natural-resource-based decisionmaking process. Drones are currently being integrated across the curriculum within ATCOFA, including 10 geographic information systems (GIS) courses for students pursuing the B.S. in Spatial Science and within six non-GIS specific courses for students pursuing the B.S. in Forestry. Results indicate that drone technology can be an effective tool in enhancing a student’s academic experience and provides students with a skill set required for future natural-resource professionals.

scholarly journals Analysis and Visualisation of Lake Disappearance Process in Iława Lakeland Landscape Park

2018 ◽  
Vol 37 (1) ◽  
pp. 115-124
Author(s):  
Weronika Cecylia Marynowska
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Spatial Data ◽  
Geographic Information ◽  
Gis Analysis ◽  
Data Bases ◽  
Ecosystem Research ◽  
Attribute Data ◽  
Gis Technologies ◽  
Interactive Map

Abstract Lake disappearance as a natural stage of evolution of lakes is an extremely important issue in the landscape and ecosystem research context. Studies of the changes that occur in the lake landscape, characteristic in the northern part of Poland, are aimed at defining the cause and forecasting the results. The possibilities of the Geographic Information Systems (GIS) were used in this paper to analyse and visualise the process of lake disappearance in the Iława Lakeland Landscape Park. GIS technologies which primarily are used for gathering, storing, processing and presenting spatial data have been used to interpret changes in lakes coverage over a period of 100 years. The analysis were based on data bases and cartographic former maps such as hydrographic maps, attribute data and bathymetric plans. The data was gathered by transfer from different geoportals, next vectorised, and then preprocessed. Former maps were rectified. The lake disappearance process was presented in several forms: lake cards, animations and interactive map. Basing on the GIS analysis about lake disappearance in Iława Lakeland Landscape Park it was possible to state that lakes are disappearing in rate of 3.99 ha a−1.

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