Longitude Points Research Articles

Vehicle routing problem optimization with machine learning in imbalanced classification vehicle route data

The object of this research is a combinatorial optimization problem arising in the problem of the route of goods delivery vehicles. In this study, the proposed method for solving combinatorial optimization problems consists of several stages: Data Cleaning, Data Preprocessing, K-NN and Cavacity Vehicle Routing Problem model. The results show that the machine learning approach can optimise combinatorial optimization problems, especially in generating vehicle route points and delivery capacity. The characteristics in determining vehicle routes by considering latitude and longitude points. This research builds a framework and implements it in a multi-class optimization model to reduce overfitting and misclassification results caused by unbalanced multiclassification from the influence of the number of 'nodes' on vehicle routes with machine learning. The purpose of the model in general is to gain an understanding of the mechanism in the problem so that it can classify unbalanced vehicle route data based on Jalur Nugraha Ekakurir delivery routes. So that with the availability of the model can be a model in determining vehicle routes based on the capacity limit of the number of shipments of goods. The results of research with machine learning models and vehicle routing problems with testing K values 11, 13, 15. Where it has a percentage of K=11 accuracy 57.3265 % and K=13 accuracy 57.3265 % and K=15 accuracy 81.8645 %. From the test results with odd K values have better accuracy and the K 15 K=15 value is better with a percentage of 81.8645 % compared to K 11 K=11, and 13 K=13. As a result, the developed model in terms of accuracy of the cavacity vehicle routing problem model has an accuracy of 93.80 % and the time series achieves an average precision of 93.31 % and with a recall value of 93.80 %. The results obtained can be useful in developing a more modern model, Cavacity Vehicle Routing Problem with Machine Learning

Spatial estimation and yearly trends in abundance-index of Japanese jack mackerel (Trachurus japonicus) in the East China Sea and Sea of Japan

Catch per unit effort (CPUE) of commercial fisheries is recommended to be standardized because various factors can affect catch rates. Recently, the spatio-temporal analysis has been required to standardize fishery data, because catch is spatially distributed in proportion to fishery distribution and not in proportion to fish abundance. We developed the spatio-temporal models for the CPUE of large- and medium-sized purse seine fisheries for the different age groups of Japanese jack mackerel (Trachurus japonicus) to evaluate the potential spatial distribution and estimate the annual trends in abundance index. Japanese jack mackerel is widely distributed in the East Asian seas, including the East China Sea and Sea of Japan, and is an important fishery resource in Japan. Our models were delta-lognormal generalized additive mixed models that incorporated the temporal components of year and month, and size of fishing vessels as categorical variables, and the identity of the fishing vessels as a random variable. The spatial component represented by the latitude and longitude points of the fishing location was smoothed using an isotropic bivariate function. The water temperature at a depth of 50 m was incorporated to detect the effects of environmental factors. After all combinations of explanatory variables were evaluated, the model with the lowest Bayesian information criterion score was selected as the best model. All the best models among both binomial models and lognormal models contained all explanatory variables, although the best binomial model for age 2 exclude the vessel size and the best lognormal model for age 0 exclude the water temperature at a depth of 50 m. Our results indicate that the potential distribution areas for all ages of Japanese jack mackerel exist on the continental shelf in the southern part of the East China Sea, the western side of Kyushu Island, and along Honshu Island in the western part of the Sea of Japan. In contrast, the main distribution areas with higher density for age 0 were segregated into two: the southwestern East China Sea and the coastal area off Kyushu Island, although fish over age 1 were widely distributed. The standardized CPUE was higher than the nominal CPUE for age 0 from 2015 to 2020, and the standardized CPUE was also higher for age 1 in 2020. These results were derived from spatial models that compensated for the lack of spatial data due to the recent decrease in fishing operations in the Southeast China Sea. The yearly trends of standardized CPUE for each age could be used for the age-structured stock assessment model such as a tuned virtual population analysis. Improving the accuracy of the abundance index helps to further improve the reliability of stock assessments.

Strong surface winds in Storm Eunice. Part 1: storm overview and indications of sting jet activity from observations and model data

Strong surface winds in Storm <i>Eunice</i>. Part 1: storm overview and indications of sting jet activity from observations and model data

Sound-Based Localization Using LSTM Networks for Visually Impaired Navigation.

In this work, we developed a prototype that adopted sound-based systems for localization of visually impaired individuals. The system was implemented based on a wireless ultrasound network, which helped the blind and visually impaired to navigate and maneuver autonomously. Ultrasonic-based systems use high-frequency sound waves to detect obstacles in the environment and provide location information to the user. Voice recognition and long short-term memory (LSTM) techniques were used to design the algorithms. The Dijkstra algorithm was also used to determine the shortest distance between two places. Assistive hardware tools, which included an ultrasonic sensor network, a global positioning system (GPS), and a digital compass, were utilized to implement this method. For indoor evaluation, three nodes were localized on the doors of different rooms inside the house, including the kitchen, bathroom, and bedroom. The coordinates (interactive latitude and longitude points) of four outdoor areas (mosque, laundry, supermarket, and home) were identified and stored in a microcomputer's memory to evaluate the outdoor settings. The results showed that the root mean square error for indoor settings after 45 trials is about 0.192. In addition, the Dijkstra algorithm determined that the shortest distance between two places was within an accuracy of 97%.

Implementation Reserve Geocoding on Mobile Application

Reverse geocoding is the conversion of coordinates into an address that allows you to find an address. In this study, the coordinates in question are latitude and longitude points on a mobile device that uses an Android-based operating system. The default feature of Android devices for obtaining latitude and longitude data is Assisted – GPS (Global Positioning System) while the tool for processing latitude and longitude data in order to obtain location and place names from the Assisted – GPS (Global Positioning System) data that has been obtained is the nominal API. .org. the stages of work in the research are making a flow system, designing a system with use case diagrams, designing a database, coding, implementing it on android based and web based. The results of this study are that using Cordova can be an alternative for making Android-based mobile applications without the need for the relatively heavy Android Studio program if it is run on standard or low specification hardware, 2). With this mobile absence application, it is able to make it easier for employees to take attendance when outside the office with information about working or out of town service, 3). With this application it can be a means of facilitating superiors in assessing employee performance, 4). With this application can handle the problem solved.

Inland waterway network mapping of AIS data for freight transportation planning

AbstractTravel demand models (TDMs) with freight forecasts estimate performance metrics for competing infrastructure investments and potential policy changes. Unfortunately, freight TDMs fail to represent non-truck modes with levels of detail adequate for multi-modal infrastructure and policy evaluation. Recent expansions in the availability of maritime movement data, i.e. Automatic Identification System (AIS), make it possible to expand and improve representation of maritime modes within freight TDMs. AIS may be used to track vessel locations as timestamped latitude–longitude points. For estimation, calibration and validation of freight TDMs, this work identifies vessel trips by applying network mapping (map-matching) heuristics to AIS data. The automated methods are evaluated on a 747-mile inland waterway network, with AIS data representing 88% of vessel activity. Inspection of 3820 AIS trajectories was used to train the heuristic parameters including stop time, duration and location. Validation shows 84⋅0% accuracy in detecting stops at ports and 83⋅5% accuracy in identifying trips crossing locks. The resulting map-matched vessel trips may be applied to generate origin–destination matrices, calculate time impedances, etc. The proposed methods are transferable to waterways or maritime port systems, as AIS continues to grow.

Improved Performance of The CHIRPS Monthly Rainfall Estimation Extraction from Google Earth Engine (GEE) platform in South Sulawesi Region

The integration of the availability and processing of The Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) data by the Google Earth Engine (GEE) platform is used in this study to extract the estimated monthly rainfall in South Sulawesi. Several areas are selected based on the characteristics of the rainy period cycle representing South Sulawesi, namely Makassar, Masamba, Wajo, and Bone. Monthly rainfall estimation data of CHIRPS in the year 2019 were validated by monthly observed rainfall at the same period showing the CHIRPS rainfall estimation has not been maximized with correlation coefficient values are 0.94, 0.63, 0.65, 0.75, and RMSE percentage 54%, 52%, 95%, 64% for each of the study areas. Then the increase in rainfall estimation performance is carried out by applying multiple linear regression method and considering both monthly observed and estimated rainfall during 30 years from 1989 to 2018, latitude and longitude point as well as elevation in every location. The results show an increase of correlation coefficient to 0.95, 0.74, 0.74, and 0.87 and a general decrease of RMSE percentage to 53%, 39%, 80%, and 67%. Thus, monthly rainfall estimation performance improvement is successfully achieved in various rainy period cycles of the study area.

A Geospatial Analysis of Disclosure of and Social Reactions to Sexual Victimization on Twitter Using #MeToo

Twitter has emerged as a space for survivors of sexual violence to share unwanted sexual experiences and for web users to provide support and feedback. Because Twitter data is often associated with latitude and longitude points, geospatial mapping of tweets that utilized the hashtag #MeToo to discuss experiences of sexual violence may be useful in understanding ways to best deliver resources to survivors who seek help online. Accordingly, the present study conducted an exploratory geographic information systems (GIS) “hotspot” (i.e., special cluster of tweet events) analysis to examine the feasibility of mapping tweets including the hashtag #MeToo with associated latitude and longitude data (N = 777) to target interventions and resource provision. Data indicated that tweets with the hashtag #MeToo were dispersed across the United States in a manner inconsistent with population density and that concentrated points emerged in other countries. Data suggest that certain geographic regions are more motivated to discuss sexual violence online and are perhaps in more dire need of violence-related resources. Future research should incorporate GIS analysis of larger Twitter datasets to target resource provision toward populations engaged in help-seeking online. GIS analysis of Twitter discourse surrounding gender-based violence may also be utilized by law enforcement, healthcare agencies, and academicians to develop targeted interventions.

Spacecraft formation flying system design and controls for four nanosats mission

Small-scale magNetosphere and Ionosphere Plasma Experiment (SNIPE) mission is aimed to observe a small-scale structure of the physical phenomena in a near-Earth environment. SNIPE mission comprises four 6U size nanosats that perform formation flying to meet the scientific objectives of the mission. In this study, we designed a formation flying system and validated it using numerical simulations to collect temporal and spatial differences of the physical phenomena for the SNIPE mission. The requirements for spacecraft formation flying are to pass the same point at different times and be located at different longitude points on the same latitude. Two types of formations which are an along-track formation for temporal observations and a cross-track formation for spatial observations are devised. The size of the formation decreases during the along-track formation phase and increases during the cross-track formation phase. Four types of orbit control were introduced to implement these formations and adjust the relative distances between the nanosats. Changing the shape and size of the formation exploits the effects of perturbations through orbit controls. The simulations were considered with several constraints to replicate the intended environments. The simulations also reflect the time differences between the orbit determination epoch and orbit control epoch, conditions in attitude control of nanosats, limitations of orbit control operation time to secure power stability, and errors in the thrust module. The numerical simulations demonstrated that each nanosat satisfied the mission requirements in a ΔV budget of 50 m/s. These results verified that the designed formation flying system meets the scientific objectives of SNIPE mission by changing the shape and size of the formation.

RANCANG BANGUN GROUND STATION DENGAN TAMPILAN GRAPHICAL USER INTERFACE PADA WAHANA ROKET BERBASIS PROCESSING DAN MENGGUNAKAN ATMEGA 328

The design of the Ground Station with a Graphical User Interface display on a Processingbasedrocket vehicle and using the ATmega328 is designed to be able to assist in monitoringthe environment of the rocket vehicle on the Ground Station with a Graphical User Interfacedisplay. The monitored environmental conditions include the Altitude parameter (Meter abovesea level) which is detected using an Altimeter, Attitude Indicator (the position of the rocketwhich includes the value of the rotation angle of the Pitch, Roll, and Yaw), the position of thevehicle according to the longitude value and latitude detected by GPS (GeographicalPositioning System), pointer display on each latitude and longitude point value in theGeographic Information System, Heading Indicator and real-time log data. GS can display datausing an IC (Integrated Circuit) which has been integrated with an accelerometer, gyro, GPSsensors, and a communication module on a Microcontroller that can be placed on a rocketvehicle so that the IC can be called a rocket module. The rocket module is then connected tocommunicate with the GS using the 2.4 GHz XBee. The results of this research indicate that theGUI can display the Pitch and Roll value angles of 32.75o and 4.15o which are implemented withthe attitude indicator display movement, get a Yaw angle value of 132.23o, can display anAltimeter with a ride height of 79 meters above sea level, followed by real-time log data displayand GIS as a map display containing points for each change in latitude and longitude.

Longitude Recognition of Satellite Broadcasting Depiction to Discerning the Filed for Agronomy by using Data Mining Algorithms

It focused on the degree and longitude of a geographic picture taken from the satellite in horticulture. This is gotten by applying data mining strategies that get off the embedding to perceive the quality behind the field of Agri. Data mining is a method of isolating the required data from plenty of datasets. It applies in different areas like research and science applications. The image gathering from the satellite-reliant on the point of longitude which contains compared incorporate decision, subjective subset gets together with pre-preparing, plan, Zero R, batching, 10 cross-endorsements, and portrayal. The pre-dealing with procedure expels plenitude information from the given approaches of information with the supports of K-means. The pre-dealing with method expels excess information from the given approaches of information. The insignificant data from the given volume is cleaned; it moves to change the data into a fathomable game plan. Next, it bundles the data according to their similarity between them reliant on it's a mean deviation. Hence, the objective has manipulated by Zero R, to perceive the inadequate framework on the photos regarding the land area taken from the satellite. The information dealing with the approach is done by the CFS system sought after by the 10 cross-endorsements. The result focused on the accuracy of an image and the degree and longitude. The perfect result is given by this technique with the strangest measure of precision extent.

MENERAPKAN APLIKASI GIS UNTUK MENGETAHUI LOKASI DAN KEBUTUHAN SEKOLAH (Studi Kasus di Dinas Pendidikan Mukomuko)

Abstract - The content of this study is the construction of a Geographic Information System. The development of this Geographic Information System is expected to help the Education Office to record school needs displayed in the form of maps. In addition, it helps the community to know the location and needs of the school. This Geographic Information System is displayed in a web form so that everyone can access it. In building this Geographic Information System, the author uses google maps to determine coordinates. This coordinate point is the latitude and longitude points found on google maps. Using these coordinates, you will get the school location. Latitude and longitude values will be stored in the MySQL database and will be called using PHP programming. This Geographic Information System can run locally, namely using a local server such as XAMPP, provided that it must be connected to the internet. Geographic Information System Design uses UML modeling consisting of usecase, activity diagrams, class diagrams, sequential diagrams, statechart diagrams, package diagrams, component diagrams, deployment diagrams, and collaboration diagrams. Keywords - Geographic Information Systems, Google Maps, Latitude, Longitude, UML

Design and control of the diffraction optical system for the prospective project of the observation spacecraft

The paper considers a development project of an observation satellite with diffractive optical system. The stable orientation problem of the optic system elements is being solved. The design layout suggested by the authors earlier is used for the purpose. With the help of numerical optimization optimal values of design parameters are found, optimized for minimum of mass. We developed control algorithm for the parameters of the prospective observation spacecraft orbit using low-thrust engine. We considered only flat parameters determining the spacecraft’s position in the orbit plane, namely, orbital period, eccentricity and longitude point of standing. We stated terminal control problem of prospective observation spacecraft. It is assumed that the corrective maneuver is implemented by creating a small transversal acceleration by using low thrust electric propulsion engine.

How to prevent injury to the palmar cutaneous branch of median nerve and ulnar nerve in a palmar incision in carpal tunnel release, a cadaveric study

To identify palmar cutaneous branches of median nerve and ulnar nerve (PCBMN and PCBUN) and try to find a safe path at wrist and forearm in the decompression procedure of carpal tunnel syndrome. Ten formalin-fixed and five fresh-frozen cadaveric forearms were included in the study. The cross point of longitude of middle finger and distal wrist crease was defined as 0 point. Distal wrist crease (DWC) and 0 point were chosen as references for measurements. Several points on the pathway of PCBMN and PCBUN were measured. The average distance between the origin of the PCBMN and PCBUN to the DWC was 4.95 ± 0.88 cm, 10.12 ± 1.50 cm, separately. The average distance between DWC and the point where PCBMN and PCBUN separated from their trunk was found to be 2.09 ± 0.31 cm, 2.90 ± 0.50 cm, separately. The distances between PCBMN, PCBUN and 0 point at DWC level was found to be 0.61 ± 0.12 cm, 0.47 ± 0.31 cm, separately. The diameters of two cutaneous branches were 0.10 ± 0.02 cm, 0.11 ± 0.04 cm, separately. The general longitudinal palmar incision could avoid injuries to recurrent branch of median nerve and distal branches of palmar cutaneous nerve can be avoided macroscopically. The area about 5 mm ulnar and 6 mm radial to 0 point at wrist level was a relatively safe area.

Species richness and turnover patterns in European tenebrionid beetles

Abstract. 1. We used a hyperdiverse invertebrate group, tenebrionid beetles, to test competing hypotheses about the factors correlated with the spatial variation in species richness and composition across Europe.2. We considered the following hypotheses for explaining variation in species richness, (i) spatial heterogeneity, (ii) environmental energy, and (iii) dispersal limitation and post‐glacial recolonisation, and the following hypotheses for variation in species composition, (i) current climate, (ii) Pleistocene glaciations, and (iii) neutral dynamics.3. We used inventories of 36 European territories, built from a database containing the distributions of 1010 species or subspecies. Area, spatial position, and topographical and climatic variables were used as predictors in regression (richness) and constrained analysis of principal coordinates (composition) analyses.4. The latitudinal richness gradient found in European tenebrionids was mostly explained by the joint effect of environmental and spatial variables, supporting the climate and incomplete recolonisation hypotheses.5. A parabolic relationship of endemism with longitude points to the presence of centres of endemism in the Iberian Peninsula and the Balkans. Current climatic conditions alone were not sufficient to explain spatial turnover patterns of European tenebrionids, which are largely influenced by spatial factors.6. Both the Pleistocene glaciations and neutral hypotheses were supported, but the fact that turnover is not uniform across Europe suggests that the historical effects of Pleistocene glaciations had a deeper impact on tenebrionid assemblages than neutral dynamics. Thus, variation in species richness seems more directly controlled by climatic factors, whereas geographical constraints related to dispersal limitation or stochastic colonisation events influenced species composition.

Centers of tectonic activity in the eastern hemisphere of Mars

We compiled a paleotectonic map for the eastern hemisphere of Mars to determine if extensional tectonic features (graben) are radial or compressional tectonic features (wrinkle ridges) are concentric to centers of tectonic activity defined by axisymmetric stress fields. Using a vector analysis technique all latitude and longitude points (1° bins) are tested to see if they lie on great circle extensions of extensional structures (the plane defined by the maximum and intermediate principal stresses) or great circle perpendiculars to compressional structures (the plane defined by the maximum and minimum compressional stresses). Centers of tectonic activity are defined as 5° areas whose concentrations of great circle extensions of tectonic features are statistically significant (e.g., 3 σ or 7.4 σ for large populations) and therefore are not the result of random noise. Our paleotectonic investigation has identified four statistically significant centers of tectonic activity within the eastern hemisphere: Elysium, Hadriaca/Tyrrhena–Hellas, Isidis–Syrtis, and Arabia Terra. Two of these centers (Hadriaca/Tyrrhena and Isidis–Syrtis) meet the 7.4 σ statistical criteria and thus represent primary centers of tectonic activity with axisymmetric stress fields. The remaining two meet the 3 σ statistical criteria and thus are defined as secondary centers of tectonic activity. Because the structures that define the centers extend over 80° of the planet the defined centers of tectonic activity are regional in character and related to modified impact basins or volcanic centers (all are more limited in extent than the Tharsis stress system that extends over the entire western hemisphere). The observation that statistically significant centers of tectonic activity are quantifiably and statistically identified argues that the crust and lithosphere of the eastern hemisphere at a regional scale is not dominated by regional inhomogeneities and anisotropies.

A discrepancy in the International Radio Consultative Committee report 322‐3 radio noise model: The probable cause

The cause of a discrepancy in the CCIR Report 322‐3 (International Radio Consultative Committee (CCIR), 1988) radio noise model is reported. The basis for this discrepancy results from the procedure used to prepare the measured noise data for the determination of a global numerical representation of the 1‐MHz data. In the development of the model, correction factors to an older CCIR model were determined for each measurement site. These corrections were interpolated for each time block and season to a grid of 100 latitude points by 84 longitude points. The correction factors at each grid point were then added to corresponding values for the older CCIR model, and finally, the resulting data for each time block and season were numerically mapped. Nineteen locations were used in the final model. Four sites used in the original CCIR model were not used. As either no correction factors were obtained for these locations or a correction factor of zero was used to maintain the status quo, the interpolation algorithm produced erroneous values near these four sites in determining the 100‐by‐84 grid of correction factors. For Bill, Wyoming, the result is not too serious; but for the other three sites at some seasons and time of day, the error is serious. For Thule, Greenland; for Ibadan, Nigeria; and for Byrd Station, Antarctica; the maximum and minimum errors were 10.1 and −10.8 dB; 12.5 and −1.5 dB; and 12.0 and 3.0 dB, respectively. Examination of the geographical extent of these errors reveals that the error is not confined to the measurement location but in fact can be very large. This geographical enhancement of the error is most serious during June, July, and August and least serious during December, January, and February. The error as a function of frequency was found to be diurnally dependent, being more serious during the daytime hours. The absence of the data locations as nodes in the interpolation affected the accuracy of the interpolation itself. The CCIR Report 322‐3 atmospheric noise model should be used with caution, especially for locations in the northern and southern high latitudes, the Arabian Peninsula, northern Africa, and the Mid‐Atlantic Ocean areas.

Air-sea fluxes over the global oceans during the FGGE year

Vertical fluxes of momentum, sensible and latent heat have been estimated over the surface of the global oceans. A three-dimensional mesh grid 32 longitude points, 17 latitude points and 365 days from December 1, 1978 to November 30, 1979 is used to obtain seasonal and annual mean values of the surface fluxes. The global climatology shows the seasonal variation, the continental influence, the principal ocean currents and the typical middle latitude (30°–50°) and tropical effects (30°S–30°N). The annual mean of latent heat shows greater flux over the subtropical regions (~ 280 W/m2) than in the polar regions (~ 80 W/m2). On the other hand, the annual mean of sensible heat shows greater flux over the polar regions (~ 100 W/m2) than in the tropics (~ 40 W/m2). Time series analyses of the daily estimates of the surface fluxes show greater energy at high frequencies due to the surface effect; however, the low-frequency spectra show relatively high energy at the 30- to 50-day mode, especially for the middle latitude regions. The 30–50 day filtered data for the surface fluxes, presented in time/latitude cross-sections for the middle latitude regions show a westerly wave propagation with wave numberK = 2 and phase speed of the order of 12 degrees/day from June to August over the southern hemisphere at 55°S.

Topographical Notes on a Journey across Labrador

The interior was approached from Tesiuyarsuakh Bay, south of Nain, where the coastal mountains are relatively low. Korluktukuluk Brook, like most of the major streams of the region, flows in its lower reaches through a typical glacial valley, with steep, high walls and a flat bottom, probably composed of marine deposits, through which the stream has cut a meandering course. The valley is well wooded for some five miles above Trout Pond (620 20' W.), though the hills are closer to the stream in this area and the gradient is fairly steep. Here the main rise to the interior uplands begins and the trees become scattered. A short distance farther on, clumps ,of spruce are found only in favorable localities, and elevations in the valley bottom reach almost I000 feet. Few of the surrounding hills, although some are rugged, are more than 500 feet higher. The complexities of the drainage pattern begin to show here, and several minor divides were crossed. From the head of Korukuluk Brook to the main divide, in 63? 50' W., there are no deeply cut valleys between Anaktalik Brook and Konrad Brook. Most of the hills are rather low, though some slcpes are fairly abrupt; the average elevation is almost I500 feet. In the divide region a number of scattered summits seem to rise appreciably, but gently, above the average level. Among them is a range that probably lies along the north shore of Mistinibi Lake. Even near the divide, fairly well developed benches are noticeable on the eastern slope. There are low east-west ridges that might be eskers near the large lake which is probably at the head of Konrad Brook. The drop from the divide ridge to the flat-bottomed valley leading down to Mistinibi Lake is abrupt. In the upper part of this valley, which lies between rather high hills, are thick, irregular deposits of coarse detrital material. In the stream flowing from Mistinibi Lake there is enough current to keep it from freezing over between the lakes. Below the last lake of the chain the gradient is so steep that the Indians avoid it and drive directly west from the lake through a low pass and, the writer thinks, over rather rugged hills beyond to Indian House Lake. On Mrs. Hubbard's map' the point where the portage route to Davis Inlet leaves Indian House Lake is i8 miles N 70? W of the corresponding point on the writer's map, i.e. the mouth of the stream flowing from Mistinibi Lake. The longitude point shown on Cabot's map2 is 9 miles N 200 E of the corresponding point on the writer's map.