Assigning of land location and land price to land parcel using ArcGIS engine

Assigning a state price to each land parcel is a frequent and yet important task in the state management of land parcels. Land price is issued for each street. For each street, land price is divided according to level of location 1, 2, 3 and 4. Parcel is assigned to which location level depending on its walking distance to nearest street, and passed minimum alley’s width, etc. The task of valuing land parcels is cumbersome because the number of land parcels to be priced is huge. To alleviate this burden for government staff, a step by step processing model is developed to automatically determine the location level of a particular parcel. Using ArcGIS Engine library and VB.NET programming language, the steps in the proposed model are built into functions in a specialized module for land valuation. Experiment in assigning location level and land prices of Tam Hiep ward, Bien Hoa city, Dong Nai province shows that 91,73% of parcels are assigned the same location level as the location on the issued land location map. The experiment demonstrates the effectiveness and correctness of the proposed model in automatically determining location levels and corresponding prices of land parcels.

Vector-Based Realisation of Geographical Voronoi Treemaps With the ArcGIS Engine

In geographical field, the researches on spatial hierarchies are extensive, but there is a lack of effective method to generate and express hierarchical spatial structures. As a frequently-used visualising method, Voronoi Treemaps are able to represent hierarchical data, but limited to displaying non-spatial data. The approach of geographical Voronoi Treemaps is proposed to solve these problems by allowing for spatial division from point features with spatial coordinates and references. Additionally, this enables to create hierarchical layouts in the form of Voronoi Treemap in GIS environments with the ArcGIS Engine. The generated layouts are saved in a geodatabase, which is convenient for adding GIS enhancements such as colouring, edge sizes, legends, borders, scales, and compass. The approach aims to establish a kind of spatial data model to represent urban hierarchies, organisation structures and region differences and so on, which expands the application range of Voronoi Treemaps in the geographical field.

基于 Oracle Spatial与 Geodatabase的语义映射转换模型在地籍权属数据入库中的应用

分析 Oracle Spatial 和 Geodatabase 的空间数据模型，搭建 Oracle Spatial 向Geodatabase 的语义映射转换模型，并以某地地籍权属数据为例，结合 ArcGIS Engine 二次开发和 ADO.NET 数据库访问技术实现地籍权属数据的入库和加载。通过实验系统表明该语义映射转换模型能够实现点、线、面 Shapefile 格式的矢量数据向 Oracle Spatial 空间数据库的入库和加载。

SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment

Since it is not possible to determine the exact time of a natural disaster’s occurrence and the amount of physical and financial damage on humans or the environment resulting from their event, decision-makers need to identify areas with potential vulnerability in order to reduce future losses. In this paper, a GIS-based open source software entitled Seismic-Related Vulnerability Calculation Software (SEVUCAS), based on the Step-wise Weight Assessment Ratio Analysis (SWARA) method and geographic information system, has been developed to assess seismic vulnerability by considering four groups of criteria (i.e., geotechnical, structural, socio-economic, and physical distance to needed facilities and away from dangerous facilities). The software was developed in C# language using ArcGIS Engine functions, which provide enhanced visualization as well as user-friendly and automatic software for the seismic vulnerability assessment of buildings. Weighting of the criteria (indicators) and alternatives (sub-indicators) was done using SWARA. Also, two interpolation methods based on a radial basis function (RBF) and teaching–learning-based optimization (TLBO) were used to optimize the weights of the criteria and the classes of each alternative as well. After weighing the criteria and alternatives, the weighted overlay analysis was used to determine the final vulnerability map in the form of contours and statistical data. The difference between this software and similar ones is that people with a low level of knowledge in the area of earthquake crisis management can use it to determine and estimate the seismic vulnerabilities of their houses. This visualized operational forecasting software provides an applicable tool for both government and people to make quick and correct decisions to determine higher priority structures for seismic retrofitting implementation.

Assessing and Mapping Forest Landscape Quality in China

Forest landscape plays a critical role in the resource management and recreational planning of forest destinations. An assessment of forest landscape quality (FLQ) could reflect the distribution of landscape resources, hence identifying the hotpots and areas with high visual quality and protection values. The objective of this study is to propose, for the first time, a methodology for assessing FLQ at the national level. Based on China’s forestry inventory database, the paper identified landform patterns and vegetative patterns as determinants (including 12 indicators) to establish an evaluation index system, and further implemented and mapped FLQ using the ArcGIS Engine platform. Results show high mountain ranges and tropical areas in China often have a high-quality forest landscape, while low FLQ scores are found in low mountains and foothills. The distribution of the four FLQ levels indicates most forest areas are featured with mediocre- or low- quality landscape values, and the differences of FLQ among different forest types are obvious. Furthermore, there is a relatively low correlation between the total forest area and the area of high-quality forest landscape. Overall, this study could contribute to enriching the existing assessment system for FLQ and to guiding the planning, policy development, and decision-making for China’s forestry administration.