Combining spatial data

GIS has been coming of age. Millions of people use one GIS or another every day, and with the advent of Web 2.0 we are promised GIS functionality on virtually every desktop and web-enabled cellphone. GIS knowledge, once restricted to a few insiders working with minicomputers that, as a category, don’t exist any more, has proliferated and is bestowed on students at just about every university and increasingly in community colleges and secondary schools.

121p tailieuvip13 19-07-2012 47 5   Download

Seaweed and seagrass form marine submerged aquatic vegetation (SAV), which plays an essential role in economic development and ecological protection in coastal areas. In this study, PlanetScope (PS )imaging data was combined with in situ samplings to demonstrate their ability to map SAV distribution in An Chan commune, Tuy An district, Phu Yen province, Central Vietnam.

16p 12120609 22-03-2020 10 1   Download

This article systematizes the related researches, classifies existing GIS models, reviews and recommends the combination of spatial components for the construction of residential buildings at the detailed level (LODs) in three-dimensional (3D) space, so receivable result is a GIS new data model, this new model is called IOLODs.

9p vihercules2711 26-03-2019 11 0   Download

Maps have long been identified as a political document aimed at structuring human senses, expectations, desire and notion on the space around. Developments in Geographic information technology which combines GIS, Remote Sensing and GPS has created new avenues in mapping and spatial decision making. Advent of FOSSGIS and Web GIS has further simplified data availability and analytical capability. These new technological advances have helped the use of critical mapping which is a set of new mapping practices and theoretical critique grounded in critical theory.

8p angicungduoc5 14-06-2020 0 0   Download

Using the analytic hierarchy process (AHP) method for multi-index evaluation has special advantages, while the use of geographic information systems (GIS) is suitable for spatial analysis. Combining AHP with GIS provides an effective approach for studies of mineral potential mapping evaluation. Selection of potential areas for exploration is a complex process in which many diverse criteria are to be considered.

12p anhnhoe11 12-04-2013 91 11   Download

In ARIES, Ecosystem Services are the effects on human well-being of the flow of benefits from an ecosystem endpoint to a human endpoint at given extents of space and time. The methodology combines spatially explicit models of ecosystem service provision and use with dynamic flow models to describe the distribution of benefits across the landscape. The exact form of these models depends on the specific context of application and is chosen by means of machine reasoning, on the basis of data analysis and ontological connotations of the services (e.g.

12p connhobinh 07-12-2012 41 2   Download

The spatial information related to these factors can be derived from remote sensing data, ground based information, and several other data sources. Geographic Information System (GIS) is a very powerful tool for the integration of different types of data. Over the past few years, there have been significant developments of GIS for spatial data analysis. Efficient landslide susceptibility mapping can be carried out by combining GIS with image processing capabilities (Sarkar and Kanungo, 2004).

12p mat_vang1 16-01-2019 18 0   Download

This paper presents the method of combining of Sentinel 2 MSI and Landsat 8 multi-resolution satellite image data for urban bare land classification based on NDBaI index. Two images of Sentinel 2 and Landsat 8 acquired closely together, were used to calculate the NDBaI index, in which sortware infrared band (band 11) of Sentinel 2 MSI image and thermal infrared band (band 10) of Landsat 8 image were used to improve the spatial resolution of NDBaI index.

11p larachdumlanat129 14-01-2021 0 0   Download

In recent years, under impacts of human activities and climate change, flood has been increased in both the frequency and magnitude, causing lots of damages to people. This study presents a method to evaluate the direct spatial damages of flooding based on inundation depth and land use data. Damage functions for different types of land use arc selected and applied. Matlab strings and GIS are combined to calculate damage in monitery term. The method is applied for estimating loss caused by thc flood event November 1999 for Huong rivce basin.

10p dem_thanh 22-12-2012 35 3   Download

Explaining the high diversity of tropical rain forest has been a challenge for ecologists for decades. We applied a recent technique of spatial statistics that is Individual species area relationship (ISAR) to study diversity structure of a tropical broadleaved forest based on individual species. The ISAR is combined by species area relationship and Ripley’s K to measure the expected  diversity of individual specific species in circular neighborhoods with variable radius of moving window circles around an arbitrary individual of a focal species.

10p queencongchua2 29-08-2019 6 0   Download

The purpose of reservoir characterisation is to fi gure out the spatial distribution of petrophysical properties such as porosity, permeability and water saturation that are key parameters for construction of the geological model. Characterisation of a carbonate reservoir is often diffi cult mainly due to the complexity of its pore system. This study presents an integrated approach to using well log and micro-geological data to characterise rock fabrics and their pore system for a carbonate reservoir in the HR structure.

8p quenchua 27-09-2019 9 0   Download

In this paper, we present a distributed and scalable evolutionary game played by autonomous mobile ad hoc network (MANET) nodes to place themselves uniformly over a dynamically changing environment without a centralized controller. A node spreading evolutionary game, called NSEG, runs at each mobile node, autonomously makes movement decisions based on localized data while the movement probabilities of possible next locations are assigned by a forced-based genetic algorithm (FGA).

12p kethamoi1 20-11-2019 11 0   Download