scholarly journals An Evaluation Model of Level of Detail Consistency of Geographical Features on Digital Maps

2020 ◽  
Vol 9 (6) ◽  
pp. 410
Author(s):  
Pengcheng Liu ◽  
Jia Xiao
Keyword(s):  
Measurement Method ◽  
Evaluation Model ◽  
Level Of Detail ◽  
Digital Map ◽  
Digital Maps ◽  
Average Value ◽  
Contour Lines ◽  
Geographic Feature ◽  
Bottom Quartile ◽  
Heterogeneous Features

This paper proposes a method to evaluate the level of detail (LoD) of geographic features on digital maps and assess their LoD consistency. First, the contour of the geometry of the geographic feature is sketched and the hierarchy of its graphical units is constructed. Using the quartile measurement method of statistical analysis, outliers of graphical units are eliminated and the average value of the graphical units below the bottom quartile is used as the statistical LoD parameter for a given data sample. By comparing the LoDs of homogeneous and heterogeneous features, we analyze the differences between the nominal scale and actual scale to evaluate the LoD consistency of features on a digital map. The validation of this method is demonstrated by experiments conducted on contour lines at a 1:5K scale and artificial building polygon data at scales of 1:2K and 1:5K. The results show that our proposed method can extract the scale of features on maps and evaluate their LoD consistency.

Establishing a Physiology-Yield-Quality Evaluation Model for Optimizing Drip Irrigation on Grape Fields in Extremely Arid Regions

2021 ◽  
Vol 37 (2) ◽  
pp. 267-278
Author(s):  
Yue Wen ◽  
Zhenhua Wang ◽  
Li Guo ◽  
Wenhao Li
Keyword(s):  
Drip Irrigation ◽  
Arid Regions ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Methods ◽  
Regulated Deficit Irrigation ◽  
Average Value ◽  
Yield And Quality ◽  
Yield Quality ◽  
Quality Indexes

HighlightsRegulated deficit irrigation and fertilization ratio were used to test grapes in extremely arid areas.Physiology, yield, and quality indexes of drip irrigation grapes were analyzed accordingly in this study.Single and comprehensive evaluation models were used to evaluate the optimal water and fertilizer treatment.Abstract. Water shortage and chemical fertilizer abuse are important factors restricting grape industry development in Xinjiang. In this study, the physiology, yield and quality indexes of drip irrigation grapes were analyzed, and the water-fertilizer system was properly optimized by a model of combination of single evaluation methods and comprehensive evaluation methods. Five irrigation schemes and three fertilizer ratios were combined to form 15 treatments in Xinjiang, China. Results showed that irrigation and fertilization had different effects on physiology, yield, and quality indicators of grapes in different growth periods, and each index cannot reach its maximum value under the same treatment. Four single evaluation methods of Principal Component Analysis (PCA), Membership Function Analysis (MFA), Gray Correlation Analysis (GCA), and TOPSIS were used to evaluate grapes of 15 water and fertilizer treatments, but there were 9 treatments with a ranking standard deviation greater than 1.0, which was over 60% of all treatments. Through four comprehensive evaluation methods of Average Value, Borda, Copeland, and Fuzzy Borda, single evaluation results were analyzed, and the standard deviations of 13 treatments ranked 1.0 or below, more than 80% of all treatments, and Average Value comprehensive method had the highest compatibility. Therefore, the combination of Average Value method and four single evaluation methods is an appropriate evaluation model. It was determined that W4F2 was the optimal treatment which was performed regulated deficit irrigation in the berry mature period, the irrigation amount, nitrogen, phosphorus, and potassium fertilizers were sequentially controlled to 694 mm, 235.7, 235.7, and 353.6 kg·ha-1, and its ranking was ranked first under the four comprehensive evaluation methods. This study can provide theoretical guidance for the combined evaluation of water and fertilizer use of drip irrigation grapes in extremely arid regions. Keywords: Comprehensive model evaluation, Extremely arid regions, Drip irrigation grapes, Physiology-yield-quality effects, Single method evaluation.

Leven met water

2019 ◽  
Vol 4 (4) ◽  
pp. 265-268
Author(s):  
MICHEL LASCARIS
Keyword(s):  
The Netherlands ◽  
Cultural Heritage ◽  
Climate Adaptation ◽  
Adaptation Strategies ◽  
Digital Map ◽  
Digital Maps ◽  
Pumping Stations ◽  
New Challenges ◽  
New Research ◽  
Over Time

Living with water. The Dijkenkaart of the Netherlands De Cultural Heritage Agency made an interesting digital map (in GIS) of all the dikes in the Netherlands. This was possible by using existing digital maps, but new research was necessary to make this general overview. There was discussion about the dating of dikes, because dikes can be of medieval origin, but were adjusted over time. Besides dikes, researchers find GIS and historical information on poldermills, kolks, reclamations and pumping stations. That is why this map is called ‘Living with water’, because this information can help addressing new challenges in climate adaptation strategies dealing with water. Everyone can take a look, or download the map in GIS, on www.cultureelerfgoed.nl/onderwerpen/bronnen-en-kaarten/overzicht/levenmet-water-kaart.

The Use of Location-Based Augmented Reality as Information Media in The Digital Map Application of Jakabaring Sport City

2021 ◽  
Vol 9 (2) ◽  
pp. 103-118
Author(s):  
Siska Arifiani ◽  
Miranda Manurung ◽  
Raden Venantius Hari Ginardi
Keyword(s):  
Augmented Reality ◽  
Tourism Industry ◽  
Location Based Service ◽  
Current Version ◽  
Digital Map ◽  
Digital Maps ◽  
Location Data ◽  
Search Feature ◽  
Integrate Technology ◽  
Information Media

Jakabaring Sport City (JSC) is an integrated sports facility complex and a public tourist spot in Palembang. Due to its extensive area and numerous facilities, visitors need a map with distinct markers for the landmark to make it easier when walking around. Recent technology advancements and its expanding role in various fields invites the question on how to integrate technology in the tourism industry. This journal aims to create an android-based digital map application with augmented reality (AR) as a guiding medium that will display directions towards the Jakabaring exit gate. This app is built using Maps SDK for Android to build the digital maps, Navigation SDK for Android to run navigation, and Maps for Unity to display AR objects that will show the directions towards the exit. The development focuses on a location-based service using GPS to track the user's whereabouts and provide real-time location data around the user. This application has a location search feature, a guiding direction (route and navigation) to a designed location, and an AR camera feature to display where the JSC exit gate is located. Every feature is working well and able to help users while visiting JSC. However, this application could still be improved in the AR feature because on its current version, it is only able to display directions to the JSC exit gate when users are within a radius of one kilometer or less to the exit.

scholarly journals Comparison of three measurement methods of saturated hydraulic condutivity

2006 ◽  
Vol 3 (3) ◽  
pp. 987-1019 ◽  
Author(s):  
C. Fallico ◽  
E. Migliari ◽  
S. Troisi
Keyword(s):  
Hydraulic Conductivity ◽  
Measurement Method ◽  
Sandy Loam ◽  
Measurement Methods ◽  
Soil Core ◽  
Statistical Parameters ◽  
Factors Affecting ◽  
Average Value ◽  
Constant Head ◽  
Log Normal

Abstract. After pointing out the importance of the saturated hydraulic conductivity (ks) measurements and the difficulties and uncertainties that are present, and after recalling salient aspects of three well-known measurement methods of this parameter (i.e. constant-head tension infiltrometer (TI) method, constant-head pressure infiltrometer (PI) method and soil core (SC) estimates method), the results of an investigation on data which were obtained during a measurement campaign on an area of 800 m2, on a sandy loam hillslope, located in Southern Italy, were carried out again here. Three sets of values of ks, obtained with these measurement methods, were analyzed statistically, verifying that the log-normal distribution describes these better than the normal one; moreover, the more significant statistical parameters of each set were compared (average value , amplitude A, coefficient of variation CV and standard deviation SD), individualizing the more significant differences. The greatest value of hydraulic conductivity was found with method (PI), while the smallest with (SC) and the intermediate with (TI); these differences were translated into macroporosity and into the influence of the single measurement method. Moreover, referring to the possible factors affecting the results, the importance can be noted of the structure, the texture and the soil events, in terms of utilization, which can affect the measure of ks leading often to very different values even for similar soils, but with a different history, independently of the coincidence of the measurement points and they can be determining to explain the differences affecting the results obtained in analogous investigations by other researchers. Having confirmed that generalization is not possible, the need was emphasized to adopt the necessary devices relating to the specific measurement method, case by case, and to carefully explain the obtained results, in the light of the peculiarities and the limits of each situation. Finally, the results of similar statistical analysis carried out on a greater number of ks values, measured through the (TI) and (PI) methods are shown in this paper, with some statistical considerations on the increasing of the measurements number.

scholarly journals Evaluation of advanced infection and prevention technical training

2021 ◽  
Vol 3 (2) ◽  
pp. 321-330
Author(s):  
Ai Siti Sutilah
Keyword(s):  
Health Workers ◽  
Evaluation Model ◽  
Quantitative Description ◽  
Health Facilities ◽  
Technical Training ◽  
Primary Data ◽  
Average Value ◽  
Training Materials ◽  
Four Levels ◽  
Evaluation Of Learning

Evaluation of a technical education and training organization can provide positive outputs. This study aims to evaluate the implementation and understanding of the training participants regarding the knowledge of the training materials provided at the Advanced Infection and Prevention Technical Training for Health Workers at the Health Facilities during the COVID-19 Pandemic online, which was held at the Puslatkesda Provinsi DKI Jakarta. This study uses a quantitative description method using the Kirkpatrick Four Levels Evaluation Model, namely through four levels consisting of reaction, learning, behavior, and result. As for what was carried out in the study, it was evaluated at levels 1 and 2. This training was held in October 2020 Batch 1 with 40 participants. Instruments The instrument used is a questionnaire, and the results of the participants' assessment are in the form of pretest and posttestt. The source of data in this study is Puslatkesda data in 2020, namely primary data on the implementation of Advanced PPI Technical Training during the COVID-19 Pandemic. Following are the results of the research data analysis that of the seven evaluation categories at the reaction level to the implementation of the training. The results showed that as many as 18 respondents with a percentage of (45 percent) answered Very Satisfactory, then for reactions to resource persons an average, of 52.5-82.5 percent participants answered satisfactorily and very satisfactory. As for the evaluation of learning or learning, it appears that the average value of participants is 84.3, and there are 100 percent (40) training participants who have complete scores in the posttest stage. With all these descriptions, the Advanced Infection and Prevention Technical Training for Health Workers at Health Facilities during the COVID-19 Pandemic went well and satisfactorily.

scholarly journals Practical Constraint K-Segment Principal Curve Algorithms for Generating Railway GPS Digital Map

2013 ◽  
Vol 2013 ◽  
pp. 1-11
Author(s):  
Dewang Chen ◽  
Long Chen
Keyword(s):  
Data Storage ◽  
Expert Knowledge ◽  
Low Cost ◽  
Large Data ◽  
Gps Data ◽  
Small Data ◽  
Data Sets ◽  
Digital Map ◽  
Digital Maps ◽  
Practical Algorithms

In order to obtain a decent trade-off between the low-cost, low-accuracy Global Positioning System (GPS) receivers and the requirements of high-precision digital maps for modern railways, using the concept of constraint K-segment principal curves (CKPCS) and the expert knowledge on railways, we propose three practical CKPCS generation algorithms with reduced computational complexity, and thereafter more suitable for engineering applications. The three algorithms are named ALLopt, MPMopt, and DCopt, in which ALLopt exploits global optimization and MPMopt and DCopt apply local optimization with different initial solutions. We compare the three practical algorithms according to their performance on average projection error, stability, and the fitness for simple and complex simulated trajectories with noise data. It is found that ALLopt only works well for simple curves and small data sets. The other two algorithms can work better for complex curves and large data sets. Moreover, MPMopt runs faster than DCopt, but DCopt can work better for some curves with cross points. The three algorithms are also applied in generating GPS digital maps for two railway GPS data sets measured in Qinghai-Tibet Railway (QTR). Similar results like the ones in synthetic data are obtained. Because the trajectory of a railway is relatively simple and straight, we conclude that MPMopt works best according to the comprehensive considerations on the speed of computation and the quality of generated CKPCS. MPMopt can be used to obtain some key points to represent a large amount of GPS data. Hence, it can greatly reduce the data storage requirements and increase the positioning speed for real-time digital map applications.

Design and Realization of Electronic Map Based on MapX

2011 ◽  
Vol 52-54 ◽  
pp. 1113-1117 ◽  
Author(s):  
Jia Fu Liu ◽  
Yu Hua Liang ◽  
Jing Li
Keyword(s):  
Popular Science ◽  
Digital Map ◽  
Electronic Map ◽  
Digital Maps ◽  
Development Tool ◽  
Program Language ◽  
Key Technologies ◽  
Design And Production

According to the characteristics of design and production for digital maps, a methodology for developing popular science tour digital map is proposed in respect with the reality of popular science tour resources in Northeast. A popular science tour digital map in Northeast was made with the MapX controls, which is a popular GIS development tool designed from the VB program language. Several key technologies for the design and production of the electrical map were discussed. The development of popular science tour digital map in Northeast has practical values for tourism developments.

Choose the Best Coach Based on the Theory of Grey System

2014 ◽  
Vol 998-999 ◽  
pp. 1757-1760 ◽  
Author(s):  
Jia Zhao
Keyword(s):  
Correlation Coefficient ◽  
Evaluation Model ◽  
Relative Size ◽  
Coefficient Matrix ◽  
Weight Matrix ◽  
Target Range ◽  
Grey System ◽  
Average Value ◽  
Dynamic Weight ◽  
Correlation Coefficient Matrix

In order to select “the best all time college coach” across both genders and all possible sports, we establish a multi-hierarchy evaluation model based on the theory of grey system. Without affecting the reliability of the results, we analyze the distribution of every index to determine the initial screening standard, narrow target range and simplify the problem. Then, we use the theory of grey system to evaluate coaches. We first normalize all indexes to make them comparable. Second, we determine a set of the best indexes as the reference vector and obtain the correlation coefficient matrix. On the issue of the weight of all indexes, we introduce the concept of dynamic weight matrix by considering the distribution and relative size of them. After that, we obtain the value of the final evaluation from the correlation coefficient matrix and dynamic weight matrix .As for the influence of time on the evaluation, we regroup the data of coaches according to the time section for five years, which results in some statistical variables, and then we draw the trend graph of them. To sum up, the number of excellent coaches of every sport is increasing over time, but the average value and standard deviation of winning percentage is decreasing. The model has the adaptability on different sports by comparison. And because the data of women coaches is insufficient, the influence of genders on the evaluation needs to be researched further.

scholarly journals Lane-Level Map-Aiding Approach Based on Non-Lane-Level Digital Map Data in Road Transport Security

2021 ◽  
Vol 13 (17) ◽  
pp. 9724
Author(s):  
Philipp Luz ◽  
Li Zhang ◽  
Jinyue Wang ◽  
Volker Schwieger
Keyword(s):  
Risk Estimation ◽  
Road Transport ◽  
Large Area ◽  
Crucial Point ◽  
Digital Map ◽  
Digital Maps ◽  
Navigation Data ◽  
Terror Attacks ◽  
Vehicle Position ◽  
Map Data

To prevent terror attacks in which trucks are used as weapons as happened in Nice or Berlin in 2016, the European Project Autonomous Emergency Maneuvering and Movement Monitoring for Road Transport Security (TransSec) was launched in 2018. One crucial point of this project is the development of a map-aiding approach for the localization of vehicles on digital maps, so that the information in digital map data can be used to detect prohibited driving maneuvers, such as off-road or wrong-way drivers. For example, a lane-level map-aiding approach is required for wrong-way driver detection. Navigation Data Standard (NDS) is one of the worldwide map standards developed by several automobile manufacturers. So far, there is no lane-level NDS map covers a large area, therefore, it was decided to use the latest available NDS map without lane level accuracy. In this paper, a lane-level map-aiding approach based on a non-lane-level NDS map is presented. Due to the inaccuracy of vehicle position and digital map the map-aiding does not always provide the correct results, so probabilities of off-road and wrong-way diver detection are estimated to support risk estimation. The performance of the developed map-aiding approach is comprehensively evaluated with both real and simulated trajectories.

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